• Into the Omniverse: World Foundation Models Advance Autonomous Vehicle Simulation and Safety

    Editor’s note: This blog is a part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse.
    Simulated driving environments enable engineers to safely and efficiently train, test and validate autonomous vehiclesacross countless real-world and edge-case scenarios without the risks and costs of physical testing.
    These simulated environments can be created through neural reconstruction of real-world data from AV fleets or generated with world foundation models— neural networks that understand physics and real-world properties. WFMs can be used to generate synthetic datasets for enhanced AV simulation.
    To help physical AI developers build such simulated environments, NVIDIA unveiled major advances in WFMs at the GTC Paris and CVPR conferences earlier this month. These new capabilities enhance NVIDIA Cosmos — a platform of generative WFMs, advanced tokenizers, guardrails and accelerated data processing tools.
    Key innovations like Cosmos Predict-2, the Cosmos Transfer-1 NVIDIA preview NIM microservice and Cosmos Reason are improving how AV developers generate synthetic data, build realistic simulated environments and validate safety systems at unprecedented scale.
    Universal Scene Description, a unified data framework and standard for physical AI applications, enables seamless integration and interoperability of simulation assets across the development pipeline. OpenUSD standardization plays a critical role in ensuring 3D pipelines are built to scale.
    NVIDIA Omniverse, a platform of application programming interfaces, software development kits and services for building OpenUSD-based physical AI applications, enables simulations from WFMs and neural reconstruction at world scale.
    Leading AV organizations — including Foretellix, Mcity, Oxa, Parallel Domain, Plus AI and Uber — are among the first to adopt Cosmos models.

    Foundations for Scalable, Realistic Simulation
    Cosmos Predict-2, NVIDIA’s latest WFM, generates high-quality synthetic data by predicting future world states from multimodal inputs like text, images and video. This capability is critical for creating temporally consistent, realistic scenarios that accelerate training and validation of AVs and robots.

    In addition, Cosmos Transfer, a control model that adds variations in weather, lighting and terrain to existing scenarios, will soon be available to 150,000 developers on CARLA, a leading open-source AV simulator. This greatly expands the broad AV developer community’s access to advanced AI-powered simulation tools.
    Developers can start integrating synthetic data into their own pipelines using the NVIDIA Physical AI Dataset. The latest release includes 40,000 clips generated using Cosmos.
    Building on these foundations, the Omniverse Blueprint for AV simulation provides a standardized, API-driven workflow for constructing rich digital twins, replaying real-world sensor data and generating new ground-truth data for closed-loop testing.
    The blueprint taps into OpenUSD’s layer-stacking and composition arcs, which enable developers to collaborate asynchronously and modify scenes nondestructively. This helps create modular, reusable scenario variants to efficiently generate different weather conditions, traffic patterns and edge cases.
    Driving the Future of AV Safety
    To bolster the operational safety of AV systems, NVIDIA earlier this year introduced NVIDIA Halos — a comprehensive safety platform that integrates the company’s full automotive hardware and software stack with AI research focused on AV safety.
    The new Cosmos models — Cosmos Predict- 2, Cosmos Transfer- 1 NIM and Cosmos Reason — deliver further safety enhancements to the Halos platform, enabling developers to create diverse, controllable and realistic scenarios for training and validating AV systems.
    These models, trained on massive multimodal datasets including driving data, amplify the breadth and depth of simulation, allowing for robust scenario coverage — including rare and safety-critical events — while supporting post-training customization for specialized AV tasks.

    At CVPR, NVIDIA was recognized as an Autonomous Grand Challenge winner, highlighting its leadership in advancing end-to-end AV workflows. The challenge used OpenUSD’s robust metadata and interoperability to simulate sensor inputs and vehicle trajectories in semi-reactive environments, achieving state-of-the-art results in safety and compliance.
    Learn more about how developers are leveraging tools like CARLA, Cosmos, and Omniverse to advance AV simulation in this livestream replay:

    Hear NVIDIA Director of Autonomous Vehicle Research Marco Pavone on the NVIDIA AI Podcast share how digital twins and high-fidelity simulation are improving vehicle testing, accelerating development and reducing real-world risks.
    Get Plugged Into the World of OpenUSD
    Learn more about what’s next for AV simulation with OpenUSD by watching the replay of NVIDIA founder and CEO Jensen Huang’s GTC Paris keynote.
    Looking for more live opportunities to learn more about OpenUSD? Don’t miss sessions and labs happening at SIGGRAPH 2025, August 10–14.
    Discover why developers and 3D practitioners are using OpenUSD and learn how to optimize 3D workflows with the self-paced “Learn OpenUSD” curriculum for 3D developers and practitioners, available for free through the NVIDIA Deep Learning Institute.
    Explore the Alliance for OpenUSD forum and the AOUSD website.
    Stay up to date by subscribing to NVIDIA Omniverse news, joining the community and following NVIDIA Omniverse on Instagram, LinkedIn, Medium and X.
    #into #omniverse #world #foundation #models
    Into the Omniverse: World Foundation Models Advance Autonomous Vehicle Simulation and Safety
    Editor’s note: This blog is a part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse. Simulated driving environments enable engineers to safely and efficiently train, test and validate autonomous vehiclesacross countless real-world and edge-case scenarios without the risks and costs of physical testing. These simulated environments can be created through neural reconstruction of real-world data from AV fleets or generated with world foundation models— neural networks that understand physics and real-world properties. WFMs can be used to generate synthetic datasets for enhanced AV simulation. To help physical AI developers build such simulated environments, NVIDIA unveiled major advances in WFMs at the GTC Paris and CVPR conferences earlier this month. These new capabilities enhance NVIDIA Cosmos — a platform of generative WFMs, advanced tokenizers, guardrails and accelerated data processing tools. Key innovations like Cosmos Predict-2, the Cosmos Transfer-1 NVIDIA preview NIM microservice and Cosmos Reason are improving how AV developers generate synthetic data, build realistic simulated environments and validate safety systems at unprecedented scale. Universal Scene Description, a unified data framework and standard for physical AI applications, enables seamless integration and interoperability of simulation assets across the development pipeline. OpenUSD standardization plays a critical role in ensuring 3D pipelines are built to scale. NVIDIA Omniverse, a platform of application programming interfaces, software development kits and services for building OpenUSD-based physical AI applications, enables simulations from WFMs and neural reconstruction at world scale. Leading AV organizations — including Foretellix, Mcity, Oxa, Parallel Domain, Plus AI and Uber — are among the first to adopt Cosmos models. Foundations for Scalable, Realistic Simulation Cosmos Predict-2, NVIDIA’s latest WFM, generates high-quality synthetic data by predicting future world states from multimodal inputs like text, images and video. This capability is critical for creating temporally consistent, realistic scenarios that accelerate training and validation of AVs and robots. In addition, Cosmos Transfer, a control model that adds variations in weather, lighting and terrain to existing scenarios, will soon be available to 150,000 developers on CARLA, a leading open-source AV simulator. This greatly expands the broad AV developer community’s access to advanced AI-powered simulation tools. Developers can start integrating synthetic data into their own pipelines using the NVIDIA Physical AI Dataset. The latest release includes 40,000 clips generated using Cosmos. Building on these foundations, the Omniverse Blueprint for AV simulation provides a standardized, API-driven workflow for constructing rich digital twins, replaying real-world sensor data and generating new ground-truth data for closed-loop testing. The blueprint taps into OpenUSD’s layer-stacking and composition arcs, which enable developers to collaborate asynchronously and modify scenes nondestructively. This helps create modular, reusable scenario variants to efficiently generate different weather conditions, traffic patterns and edge cases. Driving the Future of AV Safety To bolster the operational safety of AV systems, NVIDIA earlier this year introduced NVIDIA Halos — a comprehensive safety platform that integrates the company’s full automotive hardware and software stack with AI research focused on AV safety. The new Cosmos models — Cosmos Predict- 2, Cosmos Transfer- 1 NIM and Cosmos Reason — deliver further safety enhancements to the Halos platform, enabling developers to create diverse, controllable and realistic scenarios for training and validating AV systems. These models, trained on massive multimodal datasets including driving data, amplify the breadth and depth of simulation, allowing for robust scenario coverage — including rare and safety-critical events — while supporting post-training customization for specialized AV tasks. At CVPR, NVIDIA was recognized as an Autonomous Grand Challenge winner, highlighting its leadership in advancing end-to-end AV workflows. The challenge used OpenUSD’s robust metadata and interoperability to simulate sensor inputs and vehicle trajectories in semi-reactive environments, achieving state-of-the-art results in safety and compliance. Learn more about how developers are leveraging tools like CARLA, Cosmos, and Omniverse to advance AV simulation in this livestream replay: Hear NVIDIA Director of Autonomous Vehicle Research Marco Pavone on the NVIDIA AI Podcast share how digital twins and high-fidelity simulation are improving vehicle testing, accelerating development and reducing real-world risks. Get Plugged Into the World of OpenUSD Learn more about what’s next for AV simulation with OpenUSD by watching the replay of NVIDIA founder and CEO Jensen Huang’s GTC Paris keynote. Looking for more live opportunities to learn more about OpenUSD? Don’t miss sessions and labs happening at SIGGRAPH 2025, August 10–14. Discover why developers and 3D practitioners are using OpenUSD and learn how to optimize 3D workflows with the self-paced “Learn OpenUSD” curriculum for 3D developers and practitioners, available for free through the NVIDIA Deep Learning Institute. Explore the Alliance for OpenUSD forum and the AOUSD website. Stay up to date by subscribing to NVIDIA Omniverse news, joining the community and following NVIDIA Omniverse on Instagram, LinkedIn, Medium and X. #into #omniverse #world #foundation #models
    BLOGS.NVIDIA.COM
    Into the Omniverse: World Foundation Models Advance Autonomous Vehicle Simulation and Safety
    Editor’s note: This blog is a part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse. Simulated driving environments enable engineers to safely and efficiently train, test and validate autonomous vehicles (AVs) across countless real-world and edge-case scenarios without the risks and costs of physical testing. These simulated environments can be created through neural reconstruction of real-world data from AV fleets or generated with world foundation models (WFMs) — neural networks that understand physics and real-world properties. WFMs can be used to generate synthetic datasets for enhanced AV simulation. To help physical AI developers build such simulated environments, NVIDIA unveiled major advances in WFMs at the GTC Paris and CVPR conferences earlier this month. These new capabilities enhance NVIDIA Cosmos — a platform of generative WFMs, advanced tokenizers, guardrails and accelerated data processing tools. Key innovations like Cosmos Predict-2, the Cosmos Transfer-1 NVIDIA preview NIM microservice and Cosmos Reason are improving how AV developers generate synthetic data, build realistic simulated environments and validate safety systems at unprecedented scale. Universal Scene Description (OpenUSD), a unified data framework and standard for physical AI applications, enables seamless integration and interoperability of simulation assets across the development pipeline. OpenUSD standardization plays a critical role in ensuring 3D pipelines are built to scale. NVIDIA Omniverse, a platform of application programming interfaces, software development kits and services for building OpenUSD-based physical AI applications, enables simulations from WFMs and neural reconstruction at world scale. Leading AV organizations — including Foretellix, Mcity, Oxa, Parallel Domain, Plus AI and Uber — are among the first to adopt Cosmos models. Foundations for Scalable, Realistic Simulation Cosmos Predict-2, NVIDIA’s latest WFM, generates high-quality synthetic data by predicting future world states from multimodal inputs like text, images and video. This capability is critical for creating temporally consistent, realistic scenarios that accelerate training and validation of AVs and robots. In addition, Cosmos Transfer, a control model that adds variations in weather, lighting and terrain to existing scenarios, will soon be available to 150,000 developers on CARLA, a leading open-source AV simulator. This greatly expands the broad AV developer community’s access to advanced AI-powered simulation tools. Developers can start integrating synthetic data into their own pipelines using the NVIDIA Physical AI Dataset. The latest release includes 40,000 clips generated using Cosmos. Building on these foundations, the Omniverse Blueprint for AV simulation provides a standardized, API-driven workflow for constructing rich digital twins, replaying real-world sensor data and generating new ground-truth data for closed-loop testing. The blueprint taps into OpenUSD’s layer-stacking and composition arcs, which enable developers to collaborate asynchronously and modify scenes nondestructively. This helps create modular, reusable scenario variants to efficiently generate different weather conditions, traffic patterns and edge cases. Driving the Future of AV Safety To bolster the operational safety of AV systems, NVIDIA earlier this year introduced NVIDIA Halos — a comprehensive safety platform that integrates the company’s full automotive hardware and software stack with AI research focused on AV safety. The new Cosmos models — Cosmos Predict- 2, Cosmos Transfer- 1 NIM and Cosmos Reason — deliver further safety enhancements to the Halos platform, enabling developers to create diverse, controllable and realistic scenarios for training and validating AV systems. These models, trained on massive multimodal datasets including driving data, amplify the breadth and depth of simulation, allowing for robust scenario coverage — including rare and safety-critical events — while supporting post-training customization for specialized AV tasks. At CVPR, NVIDIA was recognized as an Autonomous Grand Challenge winner, highlighting its leadership in advancing end-to-end AV workflows. The challenge used OpenUSD’s robust metadata and interoperability to simulate sensor inputs and vehicle trajectories in semi-reactive environments, achieving state-of-the-art results in safety and compliance. Learn more about how developers are leveraging tools like CARLA, Cosmos, and Omniverse to advance AV simulation in this livestream replay: Hear NVIDIA Director of Autonomous Vehicle Research Marco Pavone on the NVIDIA AI Podcast share how digital twins and high-fidelity simulation are improving vehicle testing, accelerating development and reducing real-world risks. Get Plugged Into the World of OpenUSD Learn more about what’s next for AV simulation with OpenUSD by watching the replay of NVIDIA founder and CEO Jensen Huang’s GTC Paris keynote. Looking for more live opportunities to learn more about OpenUSD? Don’t miss sessions and labs happening at SIGGRAPH 2025, August 10–14. Discover why developers and 3D practitioners are using OpenUSD and learn how to optimize 3D workflows with the self-paced “Learn OpenUSD” curriculum for 3D developers and practitioners, available for free through the NVIDIA Deep Learning Institute. Explore the Alliance for OpenUSD forum and the AOUSD website. Stay up to date by subscribing to NVIDIA Omniverse news, joining the community and following NVIDIA Omniverse on Instagram, LinkedIn, Medium and X.
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  • EPFL Researchers Unveil FG2 at CVPR: A New AI Model That Slashes Localization Errors by 28% for Autonomous Vehicles in GPS-Denied Environments

    Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to location errors of tens of meters. For you and me, that might mean a missed turn. But for an autonomous vehicle or a delivery robot, that level of imprecision is the difference between a successful mission and a costly failure. These machines require pinpoint accuracy to operate safely and efficiently. Addressing this critical challenge, researchers from the École Polytechnique Fédérale de Lausannein Switzerland have introduced a groundbreaking new method for visual localization during CVPR 2025
    Their new paper, “FG2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching,” presents a novel AI model that significantly enhances the ability of a ground-level system, like an autonomous car, to determine its exact position and orientation using only a camera and a corresponding aerialimage. The new approach has demonstrated a remarkable 28% reduction in mean localization error compared to the previous state-of-the-art on a challenging public dataset.
    Key Takeaways:

    Superior Accuracy: The FG2 model reduces the average localization error by a significant 28% on the VIGOR cross-area test set, a challenging benchmark for this task.
    Human-like Intuition: Instead of relying on abstract descriptors, the model mimics human reasoning by matching fine-grained, semantically consistent features—like curbs, crosswalks, and buildings—between a ground-level photo and an aerial map.
    Enhanced Interpretability: The method allows researchers to “see” what the AI is “thinking” by visualizing exactly which features in the ground and aerial images are being matched, a major step forward from previous “black box” models.
    Weakly Supervised Learning: Remarkably, the model learns these complex and consistent feature matches without any direct labels for correspondences. It achieves this using only the final camera pose as a supervisory signal.

    Challenge: Seeing the World from Two Different Angles
    The core problem of cross-view localization is the dramatic difference in perspective between a street-level camera and an overhead satellite view. A building facade seen from the ground looks completely different from its rooftop signature in an aerial image. Existing methods have struggled with this. Some create a general “descriptor” for the entire scene, but this is an abstract approach that doesn’t mirror how humans naturally localize themselves by spotting specific landmarks. Other methods transform the ground image into a Bird’s-Eye-Viewbut are often limited to the ground plane, ignoring crucial vertical structures like buildings.

    FG2: Matching Fine-Grained Features
    The EPFL team’s FG2 method introduces a more intuitive and effective process. It aligns two sets of points: one generated from the ground-level image and another sampled from the aerial map.

    Here’s a breakdown of their innovative pipeline:

    Mapping to 3D: The process begins by taking the features from the ground-level image and lifting them into a 3D point cloud centered around the camera. This creates a 3D representation of the immediate environment.
    Smart Pooling to BEV: This is where the magic happens. Instead of simply flattening the 3D data, the model learns to intelligently select the most important features along the verticaldimension for each point. It essentially asks, “For this spot on the map, is the ground-level road marking more important, or is the edge of that building’s roof the better landmark?” This selection process is crucial, as it allows the model to correctly associate features like building facades with their corresponding rooftops in the aerial view.
    Feature Matching and Pose Estimation: Once both the ground and aerial views are represented as 2D point planes with rich feature descriptors, the model computes the similarity between them. It then samples a sparse set of the most confident matches and uses a classic geometric algorithm called Procrustes alignment to calculate the precise 3-DoFpose.

    Unprecedented Performance and Interpretability
    The results speak for themselves. On the challenging VIGOR dataset, which includes images from different cities in its cross-area test, FG2 reduced the mean localization error by 28% compared to the previous best method. It also demonstrated superior generalization capabilities on the KITTI dataset, a staple in autonomous driving research.

    Perhaps more importantly, the FG2 model offers a new level of transparency. By visualizing the matched points, the researchers showed that the model learns semantically consistent correspondences without being explicitly told to. For example, the system correctly matches zebra crossings, road markings, and even building facades in the ground view to their corresponding locations on the aerial map. This interpretability is extremenly valuable for building trust in safety-critical autonomous systems.
    “A Clearer Path” for Autonomous Navigation
    The FG2 method represents a significant leap forward in fine-grained visual localization. By developing a model that intelligently selects and matches features in a way that mirrors human intuition, the EPFL researchers have not only shattered previous accuracy records but also made the decision-making process of the AI more interpretable. This work paves the way for more robust and reliable navigation systems for autonomous vehicles, drones, and robots, bringing us one step closer to a future where machines can confidently navigate our world, even when GPS fails them.

    Check out the Paper. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 100k+ ML SubReddit and Subscribe to our Newsletter.
    Jean-marc MommessinJean-marc is a successful AI business executive .He leads and accelerates growth for AI powered solutions and started a computer vision company in 2006. He is a recognized speaker at AI conferences and has an MBA from Stanford.Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/AI-Generated Ad Created with Google’s Veo3 Airs During NBA Finals, Slashing Production Costs by 95%Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Highlighted at CVPR 2025: Google DeepMind’s ‘Motion Prompting’ Paper Unlocks Granular Video ControlJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Snowflake Charts New AI Territory: Cortex AISQL & Snowflake Intelligence Poised to Reshape Data AnalyticsJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Exclusive Talk: Joey Conway of NVIDIA on Llama Nemotron Ultra and Open Source Models
    #epfl #researchers #unveil #fg2 #cvpr
    EPFL Researchers Unveil FG2 at CVPR: A New AI Model That Slashes Localization Errors by 28% for Autonomous Vehicles in GPS-Denied Environments
    Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to location errors of tens of meters. For you and me, that might mean a missed turn. But for an autonomous vehicle or a delivery robot, that level of imprecision is the difference between a successful mission and a costly failure. These machines require pinpoint accuracy to operate safely and efficiently. Addressing this critical challenge, researchers from the École Polytechnique Fédérale de Lausannein Switzerland have introduced a groundbreaking new method for visual localization during CVPR 2025 Their new paper, “FG2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching,” presents a novel AI model that significantly enhances the ability of a ground-level system, like an autonomous car, to determine its exact position and orientation using only a camera and a corresponding aerialimage. The new approach has demonstrated a remarkable 28% reduction in mean localization error compared to the previous state-of-the-art on a challenging public dataset. Key Takeaways: Superior Accuracy: The FG2 model reduces the average localization error by a significant 28% on the VIGOR cross-area test set, a challenging benchmark for this task. Human-like Intuition: Instead of relying on abstract descriptors, the model mimics human reasoning by matching fine-grained, semantically consistent features—like curbs, crosswalks, and buildings—between a ground-level photo and an aerial map. Enhanced Interpretability: The method allows researchers to “see” what the AI is “thinking” by visualizing exactly which features in the ground and aerial images are being matched, a major step forward from previous “black box” models. Weakly Supervised Learning: Remarkably, the model learns these complex and consistent feature matches without any direct labels for correspondences. It achieves this using only the final camera pose as a supervisory signal. Challenge: Seeing the World from Two Different Angles The core problem of cross-view localization is the dramatic difference in perspective between a street-level camera and an overhead satellite view. A building facade seen from the ground looks completely different from its rooftop signature in an aerial image. Existing methods have struggled with this. Some create a general “descriptor” for the entire scene, but this is an abstract approach that doesn’t mirror how humans naturally localize themselves by spotting specific landmarks. Other methods transform the ground image into a Bird’s-Eye-Viewbut are often limited to the ground plane, ignoring crucial vertical structures like buildings. FG2: Matching Fine-Grained Features The EPFL team’s FG2 method introduces a more intuitive and effective process. It aligns two sets of points: one generated from the ground-level image and another sampled from the aerial map. Here’s a breakdown of their innovative pipeline: Mapping to 3D: The process begins by taking the features from the ground-level image and lifting them into a 3D point cloud centered around the camera. This creates a 3D representation of the immediate environment. Smart Pooling to BEV: This is where the magic happens. Instead of simply flattening the 3D data, the model learns to intelligently select the most important features along the verticaldimension for each point. It essentially asks, “For this spot on the map, is the ground-level road marking more important, or is the edge of that building’s roof the better landmark?” This selection process is crucial, as it allows the model to correctly associate features like building facades with their corresponding rooftops in the aerial view. Feature Matching and Pose Estimation: Once both the ground and aerial views are represented as 2D point planes with rich feature descriptors, the model computes the similarity between them. It then samples a sparse set of the most confident matches and uses a classic geometric algorithm called Procrustes alignment to calculate the precise 3-DoFpose. Unprecedented Performance and Interpretability The results speak for themselves. On the challenging VIGOR dataset, which includes images from different cities in its cross-area test, FG2 reduced the mean localization error by 28% compared to the previous best method. It also demonstrated superior generalization capabilities on the KITTI dataset, a staple in autonomous driving research. Perhaps more importantly, the FG2 model offers a new level of transparency. By visualizing the matched points, the researchers showed that the model learns semantically consistent correspondences without being explicitly told to. For example, the system correctly matches zebra crossings, road markings, and even building facades in the ground view to their corresponding locations on the aerial map. This interpretability is extremenly valuable for building trust in safety-critical autonomous systems. “A Clearer Path” for Autonomous Navigation The FG2 method represents a significant leap forward in fine-grained visual localization. By developing a model that intelligently selects and matches features in a way that mirrors human intuition, the EPFL researchers have not only shattered previous accuracy records but also made the decision-making process of the AI more interpretable. This work paves the way for more robust and reliable navigation systems for autonomous vehicles, drones, and robots, bringing us one step closer to a future where machines can confidently navigate our world, even when GPS fails them. Check out the Paper. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 100k+ ML SubReddit and Subscribe to our Newsletter. Jean-marc MommessinJean-marc is a successful AI business executive .He leads and accelerates growth for AI powered solutions and started a computer vision company in 2006. He is a recognized speaker at AI conferences and has an MBA from Stanford.Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/AI-Generated Ad Created with Google’s Veo3 Airs During NBA Finals, Slashing Production Costs by 95%Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Highlighted at CVPR 2025: Google DeepMind’s ‘Motion Prompting’ Paper Unlocks Granular Video ControlJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Snowflake Charts New AI Territory: Cortex AISQL & Snowflake Intelligence Poised to Reshape Data AnalyticsJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Exclusive Talk: Joey Conway of NVIDIA on Llama Nemotron Ultra and Open Source Models #epfl #researchers #unveil #fg2 #cvpr
    WWW.MARKTECHPOST.COM
    EPFL Researchers Unveil FG2 at CVPR: A New AI Model That Slashes Localization Errors by 28% for Autonomous Vehicles in GPS-Denied Environments
    Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to location errors of tens of meters. For you and me, that might mean a missed turn. But for an autonomous vehicle or a delivery robot, that level of imprecision is the difference between a successful mission and a costly failure. These machines require pinpoint accuracy to operate safely and efficiently. Addressing this critical challenge, researchers from the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland have introduced a groundbreaking new method for visual localization during CVPR 2025 Their new paper, “FG2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching,” presents a novel AI model that significantly enhances the ability of a ground-level system, like an autonomous car, to determine its exact position and orientation using only a camera and a corresponding aerial (or satellite) image. The new approach has demonstrated a remarkable 28% reduction in mean localization error compared to the previous state-of-the-art on a challenging public dataset. Key Takeaways: Superior Accuracy: The FG2 model reduces the average localization error by a significant 28% on the VIGOR cross-area test set, a challenging benchmark for this task. Human-like Intuition: Instead of relying on abstract descriptors, the model mimics human reasoning by matching fine-grained, semantically consistent features—like curbs, crosswalks, and buildings—between a ground-level photo and an aerial map. Enhanced Interpretability: The method allows researchers to “see” what the AI is “thinking” by visualizing exactly which features in the ground and aerial images are being matched, a major step forward from previous “black box” models. Weakly Supervised Learning: Remarkably, the model learns these complex and consistent feature matches without any direct labels for correspondences. It achieves this using only the final camera pose as a supervisory signal. Challenge: Seeing the World from Two Different Angles The core problem of cross-view localization is the dramatic difference in perspective between a street-level camera and an overhead satellite view. A building facade seen from the ground looks completely different from its rooftop signature in an aerial image. Existing methods have struggled with this. Some create a general “descriptor” for the entire scene, but this is an abstract approach that doesn’t mirror how humans naturally localize themselves by spotting specific landmarks. Other methods transform the ground image into a Bird’s-Eye-View (BEV) but are often limited to the ground plane, ignoring crucial vertical structures like buildings. FG2: Matching Fine-Grained Features The EPFL team’s FG2 method introduces a more intuitive and effective process. It aligns two sets of points: one generated from the ground-level image and another sampled from the aerial map. Here’s a breakdown of their innovative pipeline: Mapping to 3D: The process begins by taking the features from the ground-level image and lifting them into a 3D point cloud centered around the camera. This creates a 3D representation of the immediate environment. Smart Pooling to BEV: This is where the magic happens. Instead of simply flattening the 3D data, the model learns to intelligently select the most important features along the vertical (height) dimension for each point. It essentially asks, “For this spot on the map, is the ground-level road marking more important, or is the edge of that building’s roof the better landmark?” This selection process is crucial, as it allows the model to correctly associate features like building facades with their corresponding rooftops in the aerial view. Feature Matching and Pose Estimation: Once both the ground and aerial views are represented as 2D point planes with rich feature descriptors, the model computes the similarity between them. It then samples a sparse set of the most confident matches and uses a classic geometric algorithm called Procrustes alignment to calculate the precise 3-DoF (x, y, and yaw) pose. Unprecedented Performance and Interpretability The results speak for themselves. On the challenging VIGOR dataset, which includes images from different cities in its cross-area test, FG2 reduced the mean localization error by 28% compared to the previous best method. It also demonstrated superior generalization capabilities on the KITTI dataset, a staple in autonomous driving research. Perhaps more importantly, the FG2 model offers a new level of transparency. By visualizing the matched points, the researchers showed that the model learns semantically consistent correspondences without being explicitly told to. For example, the system correctly matches zebra crossings, road markings, and even building facades in the ground view to their corresponding locations on the aerial map. This interpretability is extremenly valuable for building trust in safety-critical autonomous systems. “A Clearer Path” for Autonomous Navigation The FG2 method represents a significant leap forward in fine-grained visual localization. By developing a model that intelligently selects and matches features in a way that mirrors human intuition, the EPFL researchers have not only shattered previous accuracy records but also made the decision-making process of the AI more interpretable. This work paves the way for more robust and reliable navigation systems for autonomous vehicles, drones, and robots, bringing us one step closer to a future where machines can confidently navigate our world, even when GPS fails them. Check out the Paper. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 100k+ ML SubReddit and Subscribe to our Newsletter. Jean-marc MommessinJean-marc is a successful AI business executive .He leads and accelerates growth for AI powered solutions and started a computer vision company in 2006. He is a recognized speaker at AI conferences and has an MBA from Stanford.Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/AI-Generated Ad Created with Google’s Veo3 Airs During NBA Finals, Slashing Production Costs by 95%Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Highlighted at CVPR 2025: Google DeepMind’s ‘Motion Prompting’ Paper Unlocks Granular Video ControlJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Snowflake Charts New AI Territory: Cortex AISQL & Snowflake Intelligence Poised to Reshape Data AnalyticsJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Exclusive Talk: Joey Conway of NVIDIA on Llama Nemotron Ultra and Open Source Models
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  • A shortage of high-voltage power cables could stall the clean energy transition

    In a nutshell: As nations set ever more ambitious targets for renewable energy and electrification, the humble high-voltage cable has emerged as a linchpin – and a potential chokepoint – in the race to decarbonize the global economy. A Bloomberg interview with Claes Westerlind, CEO of NKT, a leading cable manufacturer based in Denmark, explains why.
    A global surge in demand for high-voltage electricity cables is threatening to stall the clean energy revolution, as the world's ability to build new wind farms, solar plants, and cross-border power links increasingly hinges on a supply chain bottleneck few outside the industry have considered. At the center of this challenge is the complex, capital-intensive process of manufacturing the giant cables that transport electricity across hundreds of miles, both over land and under the sea.
    Despite soaring demand, cable manufacturers remain cautious about expanding capacity, raising questions about whether the pace of electrification can keep up with climate ambitions, geopolitical tensions, and the practical realities of industrial investment.
    High-voltage cables are the arteries of modern power grids, carrying electrons from remote wind farms or hydroelectric dams to the cities and industries that need them. Unlike the thin wires that run through a home's walls, these cables are engineering marvels – sometimes as thick as a person's torso, armored to withstand the crushing pressure of the ocean floor, and designed to last for decades under extreme electrical and environmental stress.

    "If you look at the very high voltage direct current cable, able to carry roughly two gigawatts through two pairs of cables – that means that the equivalent of one nuclear power reactor is flowing through one cable," Westerlind told Bloomberg.
    The process of making these cables is as specialized as it is demanding. At the core is a conductor, typically made of copper or aluminum, twisted together like a rope for flexibility and strength. Around this, manufacturers apply multiple layers of insulation in towering vertical factories to ensure the cable remains perfectly round and can safely contain the immense voltages involved. Any impurity in the insulation, even something as small as an eyelash, can cause catastrophic failure, potentially knocking out power to entire cities.
    // Related Stories

    As the world rushes to harness new sources of renewable energy, the demand for high-voltage direct currentcables has skyrocketed. HVDC technology, initially pioneered by NKT in the 1950s, has become the backbone of long-distance power transmission, particularly for offshore wind farms and intercontinental links. In recent years, approximately 80 to 90 percent of new large-scale cable projects have utilized HVDC, reflecting its efficiency in transmitting electricity over vast distances with minimal losses.

    But this surge in demand has led to a critical bottleneck. Factories that produce these cables are booked out for years, Westerlind reports, and every project requires custom engineering to match the power needs, geography, and environmental conditions of its route. According to the International Energy Agency, meeting global clean energy goals will require building the equivalent of 80 million kilometersof new grid infrastructure by 2040 – essentially doubling what has been constructed over the past century, but in just 15 years.
    Despite the clear need, cable makers have been slow to add capacity due to reasons that are as much economic and political as technical. Building a new cable factory can cost upwards of a billion euros, and manufacturers are wary of making such investments without long-term commitments from utilities or governments. "For a company like us to do investments in the realm of €1 or 2 billion, it's a massive commitment... but it's also a massive amount of demand that is needed for this investment to actually make financial sense over the next not five years, not 10 years, but over the next 20 to 30 years," Westerlind said. The industry still bears scars from a decade ago, when anticipated demand failed to materialize and expensive new facilities sat underused.
    Some governments and transmission system operators are trying to break the logjam by making "anticipatory investments" – committing to buy cable capacity even before specific projects are finalized. This approach, backed by regulators, gives manufacturers the confidence to expand, but it remains the exception rather than the rule.
    Meanwhile, the industry's structure itself creates barriers to rapid expansion, according to Westerlind. The expertise, technology, and infrastructure required to make high-voltage cables are concentrated in a handful of companies, creating what analysts describe as a "deep moat" that is difficult for new entrants to cross.
    Geopolitical tensions add another layer of complexity. China has built more HVDC lines than any other country, although Western manufacturers, such as NKT, maintain a technical edge in the most advanced cable systems. Still, there is growing concern in Europe and the US about becoming dependent on foreign suppliers for such critical infrastructure, especially in light of recent global conflicts and trade disputes. "Strategic autonomy is very important when it comes to the core parts and the fundamental parts of your society, where the grid backbone is one," Westerlind noted.
    The stakes are high. Without a rapid and coordinated push to expand cable manufacturing, the world's clean energy transition could be slowed not by a lack of wind or sun but by a shortage of the cables needed to connect them to the grid. As Westerlind put it, "We all know it has to be done... These are large investments. They are very expensive investments. So also the governments have to have a part in enabling these anticipatory investments, and making it possible for the TSOs to actually carry forward with them."
    #shortage #highvoltage #power #cables #could
    A shortage of high-voltage power cables could stall the clean energy transition
    In a nutshell: As nations set ever more ambitious targets for renewable energy and electrification, the humble high-voltage cable has emerged as a linchpin – and a potential chokepoint – in the race to decarbonize the global economy. A Bloomberg interview with Claes Westerlind, CEO of NKT, a leading cable manufacturer based in Denmark, explains why. A global surge in demand for high-voltage electricity cables is threatening to stall the clean energy revolution, as the world's ability to build new wind farms, solar plants, and cross-border power links increasingly hinges on a supply chain bottleneck few outside the industry have considered. At the center of this challenge is the complex, capital-intensive process of manufacturing the giant cables that transport electricity across hundreds of miles, both over land and under the sea. Despite soaring demand, cable manufacturers remain cautious about expanding capacity, raising questions about whether the pace of electrification can keep up with climate ambitions, geopolitical tensions, and the practical realities of industrial investment. High-voltage cables are the arteries of modern power grids, carrying electrons from remote wind farms or hydroelectric dams to the cities and industries that need them. Unlike the thin wires that run through a home's walls, these cables are engineering marvels – sometimes as thick as a person's torso, armored to withstand the crushing pressure of the ocean floor, and designed to last for decades under extreme electrical and environmental stress. "If you look at the very high voltage direct current cable, able to carry roughly two gigawatts through two pairs of cables – that means that the equivalent of one nuclear power reactor is flowing through one cable," Westerlind told Bloomberg. The process of making these cables is as specialized as it is demanding. At the core is a conductor, typically made of copper or aluminum, twisted together like a rope for flexibility and strength. Around this, manufacturers apply multiple layers of insulation in towering vertical factories to ensure the cable remains perfectly round and can safely contain the immense voltages involved. Any impurity in the insulation, even something as small as an eyelash, can cause catastrophic failure, potentially knocking out power to entire cities. // Related Stories As the world rushes to harness new sources of renewable energy, the demand for high-voltage direct currentcables has skyrocketed. HVDC technology, initially pioneered by NKT in the 1950s, has become the backbone of long-distance power transmission, particularly for offshore wind farms and intercontinental links. In recent years, approximately 80 to 90 percent of new large-scale cable projects have utilized HVDC, reflecting its efficiency in transmitting electricity over vast distances with minimal losses. But this surge in demand has led to a critical bottleneck. Factories that produce these cables are booked out for years, Westerlind reports, and every project requires custom engineering to match the power needs, geography, and environmental conditions of its route. According to the International Energy Agency, meeting global clean energy goals will require building the equivalent of 80 million kilometersof new grid infrastructure by 2040 – essentially doubling what has been constructed over the past century, but in just 15 years. Despite the clear need, cable makers have been slow to add capacity due to reasons that are as much economic and political as technical. Building a new cable factory can cost upwards of a billion euros, and manufacturers are wary of making such investments without long-term commitments from utilities or governments. "For a company like us to do investments in the realm of €1 or 2 billion, it's a massive commitment... but it's also a massive amount of demand that is needed for this investment to actually make financial sense over the next not five years, not 10 years, but over the next 20 to 30 years," Westerlind said. The industry still bears scars from a decade ago, when anticipated demand failed to materialize and expensive new facilities sat underused. Some governments and transmission system operators are trying to break the logjam by making "anticipatory investments" – committing to buy cable capacity even before specific projects are finalized. This approach, backed by regulators, gives manufacturers the confidence to expand, but it remains the exception rather than the rule. Meanwhile, the industry's structure itself creates barriers to rapid expansion, according to Westerlind. The expertise, technology, and infrastructure required to make high-voltage cables are concentrated in a handful of companies, creating what analysts describe as a "deep moat" that is difficult for new entrants to cross. Geopolitical tensions add another layer of complexity. China has built more HVDC lines than any other country, although Western manufacturers, such as NKT, maintain a technical edge in the most advanced cable systems. Still, there is growing concern in Europe and the US about becoming dependent on foreign suppliers for such critical infrastructure, especially in light of recent global conflicts and trade disputes. "Strategic autonomy is very important when it comes to the core parts and the fundamental parts of your society, where the grid backbone is one," Westerlind noted. The stakes are high. Without a rapid and coordinated push to expand cable manufacturing, the world's clean energy transition could be slowed not by a lack of wind or sun but by a shortage of the cables needed to connect them to the grid. As Westerlind put it, "We all know it has to be done... These are large investments. They are very expensive investments. So also the governments have to have a part in enabling these anticipatory investments, and making it possible for the TSOs to actually carry forward with them." #shortage #highvoltage #power #cables #could
    WWW.TECHSPOT.COM
    A shortage of high-voltage power cables could stall the clean energy transition
    In a nutshell: As nations set ever more ambitious targets for renewable energy and electrification, the humble high-voltage cable has emerged as a linchpin – and a potential chokepoint – in the race to decarbonize the global economy. A Bloomberg interview with Claes Westerlind, CEO of NKT, a leading cable manufacturer based in Denmark, explains why. A global surge in demand for high-voltage electricity cables is threatening to stall the clean energy revolution, as the world's ability to build new wind farms, solar plants, and cross-border power links increasingly hinges on a supply chain bottleneck few outside the industry have considered. At the center of this challenge is the complex, capital-intensive process of manufacturing the giant cables that transport electricity across hundreds of miles, both over land and under the sea. Despite soaring demand, cable manufacturers remain cautious about expanding capacity, raising questions about whether the pace of electrification can keep up with climate ambitions, geopolitical tensions, and the practical realities of industrial investment. High-voltage cables are the arteries of modern power grids, carrying electrons from remote wind farms or hydroelectric dams to the cities and industries that need them. Unlike the thin wires that run through a home's walls, these cables are engineering marvels – sometimes as thick as a person's torso, armored to withstand the crushing pressure of the ocean floor, and designed to last for decades under extreme electrical and environmental stress. "If you look at the very high voltage direct current cable, able to carry roughly two gigawatts through two pairs of cables – that means that the equivalent of one nuclear power reactor is flowing through one cable," Westerlind told Bloomberg. The process of making these cables is as specialized as it is demanding. At the core is a conductor, typically made of copper or aluminum, twisted together like a rope for flexibility and strength. Around this, manufacturers apply multiple layers of insulation in towering vertical factories to ensure the cable remains perfectly round and can safely contain the immense voltages involved. Any impurity in the insulation, even something as small as an eyelash, can cause catastrophic failure, potentially knocking out power to entire cities. // Related Stories As the world rushes to harness new sources of renewable energy, the demand for high-voltage direct current (HVDC) cables has skyrocketed. HVDC technology, initially pioneered by NKT in the 1950s, has become the backbone of long-distance power transmission, particularly for offshore wind farms and intercontinental links. In recent years, approximately 80 to 90 percent of new large-scale cable projects have utilized HVDC, reflecting its efficiency in transmitting electricity over vast distances with minimal losses. But this surge in demand has led to a critical bottleneck. Factories that produce these cables are booked out for years, Westerlind reports, and every project requires custom engineering to match the power needs, geography, and environmental conditions of its route. According to the International Energy Agency, meeting global clean energy goals will require building the equivalent of 80 million kilometers (around 49.7 million miles) of new grid infrastructure by 2040 – essentially doubling what has been constructed over the past century, but in just 15 years. Despite the clear need, cable makers have been slow to add capacity due to reasons that are as much economic and political as technical. Building a new cable factory can cost upwards of a billion euros, and manufacturers are wary of making such investments without long-term commitments from utilities or governments. "For a company like us to do investments in the realm of €1 or 2 billion, it's a massive commitment... but it's also a massive amount of demand that is needed for this investment to actually make financial sense over the next not five years, not 10 years, but over the next 20 to 30 years," Westerlind said. The industry still bears scars from a decade ago, when anticipated demand failed to materialize and expensive new facilities sat underused. Some governments and transmission system operators are trying to break the logjam by making "anticipatory investments" – committing to buy cable capacity even before specific projects are finalized. This approach, backed by regulators, gives manufacturers the confidence to expand, but it remains the exception rather than the rule. Meanwhile, the industry's structure itself creates barriers to rapid expansion, according to Westerlind. The expertise, technology, and infrastructure required to make high-voltage cables are concentrated in a handful of companies, creating what analysts describe as a "deep moat" that is difficult for new entrants to cross. Geopolitical tensions add another layer of complexity. China has built more HVDC lines than any other country, although Western manufacturers, such as NKT, maintain a technical edge in the most advanced cable systems. Still, there is growing concern in Europe and the US about becoming dependent on foreign suppliers for such critical infrastructure, especially in light of recent global conflicts and trade disputes. "Strategic autonomy is very important when it comes to the core parts and the fundamental parts of your society, where the grid backbone is one," Westerlind noted. The stakes are high. Without a rapid and coordinated push to expand cable manufacturing, the world's clean energy transition could be slowed not by a lack of wind or sun but by a shortage of the cables needed to connect them to the grid. As Westerlind put it, "We all know it has to be done... These are large investments. They are very expensive investments. So also the governments have to have a part in enabling these anticipatory investments, and making it possible for the TSOs to actually carry forward with them."
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  • Cheaper than iCloud, this 2TB cloud storage also lasts for life

    Macworld

    iCloud doesn’t seem expensive until you start doing the math. If you want 2TB with iCloud, you’ll have to pay a month. That’s a little under every year. If you want a cheaper alternative to get the same amount of cloud storage, FileJump has a 2TB Cloud Storage Lifetime Subscription that’s on sale for.

    The biggest difference between iCloud and FileJump is that the latter won’t seamlessly integrate with your iOS devices. But with extra in your pocket every month… does it really matter? It’s still practically seamless to upload images, videos, and files under 15GB in size using the simple drag-and-drop, and they’re stored safely for life with AES encryption.

    Unlike other lifetime cloud storage plans, FileJump even has mobile and desktop apps to complete the experience. Conveniently see file previews for images, videos, and spreadsheets.

    Don’t miss your chance to replace a monthly subscription with something you can actually own.

    Get a FileJump 2TB Cloud Storage Lifetime Subscription for FileJump 2TB Cloud Storage: Lifetime SubscriptionSee Deal

    StackSocial prices subject to change.
    #cheaper #than #icloud #this #2tb
    Cheaper than iCloud, this 2TB cloud storage also lasts for life
    Macworld iCloud doesn’t seem expensive until you start doing the math. If you want 2TB with iCloud, you’ll have to pay a month. That’s a little under every year. If you want a cheaper alternative to get the same amount of cloud storage, FileJump has a 2TB Cloud Storage Lifetime Subscription that’s on sale for. The biggest difference between iCloud and FileJump is that the latter won’t seamlessly integrate with your iOS devices. But with extra in your pocket every month… does it really matter? It’s still practically seamless to upload images, videos, and files under 15GB in size using the simple drag-and-drop, and they’re stored safely for life with AES encryption. Unlike other lifetime cloud storage plans, FileJump even has mobile and desktop apps to complete the experience. Conveniently see file previews for images, videos, and spreadsheets. Don’t miss your chance to replace a monthly subscription with something you can actually own. Get a FileJump 2TB Cloud Storage Lifetime Subscription for FileJump 2TB Cloud Storage: Lifetime SubscriptionSee Deal StackSocial prices subject to change. #cheaper #than #icloud #this #2tb
    WWW.MACWORLD.COM
    Cheaper than iCloud, this 2TB cloud storage also lasts for life
    Macworld iCloud doesn’t seem expensive until you start doing the math. If you want 2TB with iCloud, you’ll have to pay $9.99 a month. That’s a little under $120 every year. If you want a cheaper alternative to get the same amount of cloud storage, FileJump has a 2TB Cloud Storage Lifetime Subscription that’s on sale for $69.97 (reg. $467). The biggest difference between iCloud and FileJump is that the latter won’t seamlessly integrate with your iOS devices. But with $10 extra in your pocket every month… does it really matter? It’s still practically seamless to upload images, videos, and files under 15GB in size using the simple drag-and-drop, and they’re stored safely for life with AES encryption. Unlike other lifetime cloud storage plans, FileJump even has mobile and desktop apps to complete the experience. Conveniently see file previews for images, videos, and spreadsheets. Don’t miss your chance to replace a monthly subscription with something you can actually own. Get a FileJump 2TB Cloud Storage Lifetime Subscription for $69.97. FileJump 2TB Cloud Storage: Lifetime SubscriptionSee Deal StackSocial prices subject to change.
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  • Watch Out for Malicious Unsubscribe Links

    In addition to the flood of spam texts you receive on a daily basis, your email inbox is likely filled with newsletters, promotions, and other messages that you don't care to read and perhaps don't know why you receive. But you shouldn't just start clicking unsubscribe links, which may open you up to certain cybersecurity risks. Email unsubscribe links may be maliciousWhile email unsubscribe links may seem innocuous, especially if you generally trust the sender, security experts say there are a number of ways in which threat actors can leverage these links for malicious purposes. Like responding to a spam text or answering a spam call, clicking "unsubscribe" confirms that your email address is active, giving cyber criminals an incentive to keep targeting you.In some cases, unsubscribe links can be hijacked to send users to phishing websites, where you are asked to enter your login credentials to complete the process. According to the folks at DNSFilter, one in every 644 clicks of email unsubscribe links can land you on a malicious website. While you do have to confirm your email address in some legitimate cases, you shouldn't enter a password, which is likely a scam. Bottom line: If you don't trust the sender, you certainly shouldn't trust any links contained within the email. How to safely unsubscribe from emails Even if unsubscribe links are safe, it's a pain to go through the multi-step process of clicking through individual emails and opening new browser windows to confirm. To minimize hassle and avoid the risk of malicious links in individual emails, you can use unsubscribe features built into your email client, which are less likely to be compromised by threat actors because they aren't tied to the email itself. In Gmail, tap More > Manage subscriptions in your left-hand navigation barand scroll to the sender. Click Unsubscribe to the right of the number of emails sent recently. You can also unsubscribe from individual emails by opening the message and clicking Unsubscribe next to the sender's name. In some cases, you may be directed to the sender's website to complete the process.You can also mark the message as spam or block the sender. In Outlook, go to Settings > Mail > Subscriptions > Your current subscriptions and select Unsubscribe, then tap OK. Alternatively, you can block the sender by clicking the three dots and selecting Block > OK. Alternatively, you can filter unwanted emails to a different folder, so while you'll still receive them, they won't clog up your main inbox. In Gmail, open the message then click More > Filter messages like these to set up filter criteria, whether that's sending to another folder, deleting it, or marking it as spam. You can create similar rules in Outlook by right-clicking the message in your message list and going to Rules > Create rule. A final option is to use a disposable email alias to subscribe to newsletters and promotional emails or when signing up for accounts, which makes it easy to filter messages or delete the address entirely without affecting your main inbox.
    #watch #out #malicious #unsubscribe #links
    Watch Out for Malicious Unsubscribe Links
    In addition to the flood of spam texts you receive on a daily basis, your email inbox is likely filled with newsletters, promotions, and other messages that you don't care to read and perhaps don't know why you receive. But you shouldn't just start clicking unsubscribe links, which may open you up to certain cybersecurity risks. Email unsubscribe links may be maliciousWhile email unsubscribe links may seem innocuous, especially if you generally trust the sender, security experts say there are a number of ways in which threat actors can leverage these links for malicious purposes. Like responding to a spam text or answering a spam call, clicking "unsubscribe" confirms that your email address is active, giving cyber criminals an incentive to keep targeting you.In some cases, unsubscribe links can be hijacked to send users to phishing websites, where you are asked to enter your login credentials to complete the process. According to the folks at DNSFilter, one in every 644 clicks of email unsubscribe links can land you on a malicious website. While you do have to confirm your email address in some legitimate cases, you shouldn't enter a password, which is likely a scam. Bottom line: If you don't trust the sender, you certainly shouldn't trust any links contained within the email. How to safely unsubscribe from emails Even if unsubscribe links are safe, it's a pain to go through the multi-step process of clicking through individual emails and opening new browser windows to confirm. To minimize hassle and avoid the risk of malicious links in individual emails, you can use unsubscribe features built into your email client, which are less likely to be compromised by threat actors because they aren't tied to the email itself. In Gmail, tap More > Manage subscriptions in your left-hand navigation barand scroll to the sender. Click Unsubscribe to the right of the number of emails sent recently. You can also unsubscribe from individual emails by opening the message and clicking Unsubscribe next to the sender's name. In some cases, you may be directed to the sender's website to complete the process.You can also mark the message as spam or block the sender. In Outlook, go to Settings > Mail > Subscriptions > Your current subscriptions and select Unsubscribe, then tap OK. Alternatively, you can block the sender by clicking the three dots and selecting Block > OK. Alternatively, you can filter unwanted emails to a different folder, so while you'll still receive them, they won't clog up your main inbox. In Gmail, open the message then click More > Filter messages like these to set up filter criteria, whether that's sending to another folder, deleting it, or marking it as spam. You can create similar rules in Outlook by right-clicking the message in your message list and going to Rules > Create rule. A final option is to use a disposable email alias to subscribe to newsletters and promotional emails or when signing up for accounts, which makes it easy to filter messages or delete the address entirely without affecting your main inbox. #watch #out #malicious #unsubscribe #links
    LIFEHACKER.COM
    Watch Out for Malicious Unsubscribe Links
    In addition to the flood of spam texts you receive on a daily basis, your email inbox is likely filled with newsletters, promotions, and other messages that you don't care to read and perhaps don't know why you receive. But you shouldn't just start clicking unsubscribe links, which may open you up to certain cybersecurity risks. Email unsubscribe links may be maliciousWhile email unsubscribe links may seem innocuous, especially if you generally trust the sender, security experts say there are a number of ways in which threat actors can leverage these links for malicious purposes. Like responding to a spam text or answering a spam call, clicking "unsubscribe" confirms that your email address is active, giving cyber criminals an incentive to keep targeting you.In some cases, unsubscribe links can be hijacked to send users to phishing websites, where you are asked to enter your login credentials to complete the process. According to the folks at DNSFilter, one in every 644 clicks of email unsubscribe links can land you on a malicious website. While you do have to confirm your email address in some legitimate cases, you shouldn't enter a password, which is likely a scam. Bottom line: If you don't trust the sender, you certainly shouldn't trust any links contained within the email. How to safely unsubscribe from emails Even if unsubscribe links are safe, it's a pain to go through the multi-step process of clicking through individual emails and opening new browser windows to confirm. To minimize hassle and avoid the risk of malicious links in individual emails, you can use unsubscribe features built into your email client, which are less likely to be compromised by threat actors because they aren't tied to the email itself. In Gmail, tap More > Manage subscriptions in your left-hand navigation bar (Menu > Manage subscriptions on mobile) and scroll to the sender. Click Unsubscribe to the right of the number of emails sent recently. You can also unsubscribe from individual emails by opening the message and clicking Unsubscribe next to the sender's name. In some cases, you may be directed to the sender's website to complete the process. (Note that Gmail may not consider all email campaigns eligible for one-click unsubscribe.) You can also mark the message as spam or block the sender. In Outlook, go to Settings > Mail > Subscriptions > Your current subscriptions and select Unsubscribe, then tap OK. Alternatively, you can block the sender by clicking the three dots and selecting Block > OK. Alternatively, you can filter unwanted emails to a different folder (including spam), so while you'll still receive them, they won't clog up your main inbox. In Gmail, open the message then click More > Filter messages like these to set up filter criteria, whether that's sending to another folder, deleting it, or marking it as spam. You can create similar rules in Outlook by right-clicking the message in your message list and going to Rules > Create rule. A final option is to use a disposable email alias to subscribe to newsletters and promotional emails or when signing up for accounts, which makes it easy to filter messages or delete the address entirely without affecting your main inbox.
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  • AN EXPLOSIVE MIX OF SFX AND VFX IGNITES FINAL DESTINATION BLOODLINES

    By CHRIS McGOWAN

    Images courtesy of Warner Bros. Pictures.

    Final Destination Bloodlines, the sixth installment in the graphic horror series, kicks off with the film’s biggest challenge – deploying an elaborate, large-scale set piece involving the 400-foot-high Skyview Tower restaurant. While there in 1968, young Iris Campbellhas a premonition about the Skyview burning, cracking, crumbling and collapsing. Then, when she sees these events actually starting to happen around her, she intervenes and causes an evacuation of the tower, thus thwarting death’s design and saving many lives. Years later, her granddaughter, Stefani Reyes, inherits the vision of the destruction that could have occurred and realizes death is still coming for the survivors.

    “I knew we couldn’t put the wholeon fire, but Tonytried and put as much fire as he could safely and then we just built off thatand added a lot more. Even when it’s just a little bit of real fire, the lighting and interaction that can’t be simulated, so I think it was a success in terms of blending that practical with the visual.”
    —Nordin Rahhali, VFX Supervisor

    The film opens with an elaborate, large-scale set piece involving the 400-foot-high Skyview Tower restaurant – and its collapse. Drone footage was digitized to create a 3D asset for the LED wall so the time of day could be changed as needed.

    “The set that the directors wanted was very large,” says Nordin Rahhali, VFX Supervisor. “We had limited space options in stages given the scale and the footprint of the actual restaurant that they wanted. It was the first set piece, the first big thing we shot, so we had to get it all ready and going right off the bat. We built a bigger volume for our needs, including an LED wall that we built the assets for.”

    “We were outside Vancouver at Bridge Studios in Burnaby. The custom-built LED volume was a little over 200 feet in length” states Christian Sebaldt, ASC, the movie’s DP. The volume was 98 feet in diameter and 24 feet tall. Rahhali explains, “Pixomondo was the vendor that we contracted to come in and build the volume. They also built the asset that went on the LED wall, so they were part of our filming team and production shoot. Subsequently, they were also the main vendor doing post, which was by design. By having them design and take care of the asset during production, we were able to leverage their assets, tools and builds for some of the post VFX.” Rahhali adds, “It was really important to make sure we had days with the volume team and with Christian and his camera team ahead of the shoot so we could dial it in.”

    Built at Bridge Studios in Burnaby outside Vancouver, the custom-built LED volume for events at the Skyview restaurant was over 200 feet long, 98 feet wide and 24 feet tall. Extensive previs with Digital Domain was done to advance key shots.Zach Lipovsky and Adam Stein directed Final Destination Bloodlines for New Line film, distributed by Warner Bros., in which chain reactions of small and big events lead to bloody catastrophes befalling those who have cheated death at some point. Pixomondo was the lead VFX vendor, followed by FOLKS VFX. Picture Shop also contributed. There were around 800 VFX shots. Tony Lazarowich was the Special Effects Supervisor.

    “The Skyview restaurant involved building a massive setwas fire retardant, which meant the construction took longer than normal because they had to build it with certain materials and coat it with certain things because, obviously, it serves for the set piece. As it’s falling into chaos, a lot of that fire was practical. I really jived with what Christian and directors wanted and how Tony likes to work – to augment as much real practical stuff as possible,” Rahhali remarks. “I knew we couldn’t put the whole thing on fire, but Tony tried and put as much fire as he could safely, and then we just built off thatand added a lot more. Even when it’s just a little bit of real fire, the lighting and interaction can’t be simulated, so I think it was a success in terms of blending that practical with the visual.”

    The Skyview restaurant required building a massive set that was fire retardant. Construction on the set took longer because it had to be built and coated with special materials. As the Skyview restaurant falls into chaos, much of the fire was practical.“We got all the Vancouver skylineso we could rebuild our version of the city, which was based a little on the Vancouver footprint. So, we used all that to build a digital recreation of a city that was in line with what the directors wanted, which was a coastal city somewhere in the States that doesn’t necessarily have to be Vancouver or Seattle, but it looks a little like the Pacific Northwest.”
    —Christian Sebaldt, ASC, Director of Photography

    For drone shots, the team utilized a custom heavy-lift drone with three RED Komodo Digital Cinema cameras “giving us almost 180 degrees with overlap that we would then stitch in post and have a ridiculous amount of resolution off these three cameras,” Sebaldt states. “The other drone we used was a DJI Inspire 3, which was also very good. And we flew these drones up at the height. We flew them at different times of day. We flew full 360s, and we also used them for photogrammetry. We got all the Vancouver skyline so we could rebuild our version of the city, which was based a little on the Vancouver footprint. So, we used all that to build a digital recreation of a city that was in line with what the directors wanted, which was a coastal city somewhere in the States that doesn’t necessarily have to be Vancouver or Seattle, but it looks a little like the Pacific Northwest.” Rahhali adds, “All of this allowed us to figure out what we were going to shoot. We had the stage build, and we had the drone footage that we then digitized and created a 3D asset to go on the wallwe could change the times of day”

    Pixomondo built the volume and the asset that went on the LED wall for the Skyview sequence. They were also the main vendor during post. FOLKS VFX and Picture Shop contributed.“We did extensive previs with Digital Domain,” Rahhali explains. “That was important because we knew the key shots that the directors wanted. With a combination of those key shots, we then kind of reverse-engineeredwhile we did techvis off the previs and worked with Christian and the art department so we would have proper flexibility with the set to be able to pull off some of these shots.some of these shots required the Skyview restaurant ceiling to be lifted and partially removed for us to get a crane to shoot Paulas he’s about to fall and the camera’s going through a roof, that we then digitally had to recreate. Had we not done the previs to know those shots in advance, we would not have been able to build that in time to accomplish the look. We had many other shots that were driven off the previs that allowed the art department, construction and camera teams to work out how they would get those shots.”

    Some shots required the Skyview’s ceiling to be lifted and partially removed to get a crane to shoot Paul Campbellas he’s about to fall.

    The character Iris lived in a fortified house, isolating herself methodically to avoid the Grim Reaper. Rahhali comments, “That was a beautiful locationGVRD, very cold. It was a long, hard shoot, because it was all nights. It was just this beautiful pocket out in the middle of the mountains. We in visual effects didn’t do a ton other than a couple of clean-ups of the big establishing shots when you see them pull up to the compound. We had to clean up small roads we wanted to make look like one road and make the road look like dirt.” There were flames involved. Sebaldt says, “The explosionwas unbelievably big. We had eight cameras on it at night and shot it at high speed, and we’re all going ‘Whoa.’” Rahhali notes, “There was some clean-up, but the explosion was 100% practical. Our Special Effects Supervisor, Tony, went to town on that. He blew up the whole house, and it looked spectacular.”

    The tattoo shop piercing scene is one of the most talked-about sequences in the movie, where a dangling chain from a ceiling fan attaches itself to the septum nose piercing of Erik Campbelland drags him toward a raging fire. Rahhali observes, “That was very Final Destination and a great Rube Goldberg build-up event. Richard was great. He was tied up on a stunt line for most of it, balancing on top of furniture. All of that was him doing it for real with a stunt line.” Some effects solutions can be surprisingly extremely simple. Rahhali continues, “Our producercame up with a great gagseptum ring.” Richard’s nose was connected with just a nose plug that went inside his nostrils. “All that tugging and everything that you’re seeing was real. For weeks and weeks, we were all trying to figure out how to do it without it being a big visual effects thing. ‘How are we gonna pull his nose for real?’ Craig said, ‘I have these things I use to help me open up my nose and you can’t really see them.’ They built it off of that, and it looked great.”

    Filmmakers spent weeks figuring out how to execute the harrowing tattoo shop scene. A dangling chain from a ceiling fan attaches itself to the septum nose ring of Erik Campbell– with the actor’s nose being tugged by the chain connected to a nose plug that went inside his nostrils.

    “ome of these shots required the Skyview restaurant ceiling to be lifted and partially removed for us to get a crane to shoot Paulas he’s about to fall and the camera’s going through a roof, that we then digitally had to recreate. Had we not done the previs to know those shots in advance, we would not have been able to build that in time to accomplish the look. We had many other shots that were driven off the previs that allowed the art department, construction and camera teams to work out how they would get those shots.”
    —Nordin Rahhali, VFX Supervisor

    Most of the fire in the tattoo parlor was practical. “There are some fire bars and stuff that you’re seeing in there from SFX and the big pool of fire on the wide shots.” Sebaldt adds, “That was a lot of fun to shoot because it’s so insane when he’s dancing and balancing on all this stuff – we were laughing and laughing. We were convinced that this was going to be the best scene in the movie up to that moment.” Rahhali says, “They used the scene wholesale for the trailer. It went viral – people were taking out their septum rings.” Erik survives the parlor blaze only to meet his fate in a hospital when he is pulled by a wheelchair into an out-of-control MRI machine at its highest magnetic level. Rahhali comments, “That is a good combination of a bunch of different departments. Our Stunt Coordinator, Simon Burnett, came up with this hard pull-wire linewhen Erik flies and hits the MRI. That’s a real stunt with a double, and he hit hard. All the other shots are all CG wheelchairs because the directors wanted to art-direct how the crumpling metal was snapping and bending to show pressure on him as his body starts going into the MRI.”

    To augment the believability that comes with reality, the directors aimed to capture as much practically as possible, then VFX Supervisor Nordin Rahhali and his team built on that result.A train derailment concludes the film after Stefani and her brother, Charlie, realize they are still on death’s list. A train goes off the tracks, and logs from one of the cars fly though the air and kills them. “That one was special because it’s a hard sequence and was also shot quite late, so we didn’t have a lot of time. We went back to Vancouver and shot the actual street, and we shot our actors performing. They fell onto stunt pads, and the moment they get touched by the logs, it turns into CG as it was the only way to pull that off and the train of course. We had to add all that. The destruction of the houses and everything was done in visual effects.”

    Erik survives the tattoo parlor blaze only to meet his fate in a hospital when he is crushed by a wheelchair while being pulled into an out-of-control MRI machine.

    Erikappears about to be run over by a delivery truck at the corner of 21A Ave. and 132A St., but he’s not – at least not then. The truck is actually on the opposite side of the road, and the person being run over is Howard.

    A rolling penny plays a major part in the catastrophic chain reactions and seems to be a character itself. “The magic penny was a mix from two vendors, Pixomondo and FOLKS; both had penny shots,” Rahhali says. “All the bouncing pennies you see going through the vents and hitting the fan blade are all FOLKS. The bouncing penny at the end as a lady takes it out of her purse, that goes down the ramp and into the rail – that’s FOLKS. The big explosion shots in the Skyview with the penny slowing down after the kid throws itare all Pixomondo shots. It was a mix. We took a little time to find that balance between readability and believability.”

    Approximately 800 VFX shots were required for Final Destination Bloodlines.Chain reactions of small and big events lead to bloody catastrophes befalling those who have cheated Death at some point in the Final Destination films.

    From left: Kaitlyn Santa Juana as Stefani Reyes, director Adam Stein, director Zach Lipovsky and Gabrielle Rose as Iris.Rahhali adds, “The film is a great collaboration of departments. Good visual effects are always a good combination of special effects, makeup effects and cinematography; it’s all the planning of all the pieces coming together. For a film of this size, I’m really proud of the work. I think we punched above our weight class, and it looks quite good.”
    #explosive #mix #sfx #vfx #ignites
    AN EXPLOSIVE MIX OF SFX AND VFX IGNITES FINAL DESTINATION BLOODLINES
    By CHRIS McGOWAN Images courtesy of Warner Bros. Pictures. Final Destination Bloodlines, the sixth installment in the graphic horror series, kicks off with the film’s biggest challenge – deploying an elaborate, large-scale set piece involving the 400-foot-high Skyview Tower restaurant. While there in 1968, young Iris Campbellhas a premonition about the Skyview burning, cracking, crumbling and collapsing. Then, when she sees these events actually starting to happen around her, she intervenes and causes an evacuation of the tower, thus thwarting death’s design and saving many lives. Years later, her granddaughter, Stefani Reyes, inherits the vision of the destruction that could have occurred and realizes death is still coming for the survivors. “I knew we couldn’t put the wholeon fire, but Tonytried and put as much fire as he could safely and then we just built off thatand added a lot more. Even when it’s just a little bit of real fire, the lighting and interaction that can’t be simulated, so I think it was a success in terms of blending that practical with the visual.” —Nordin Rahhali, VFX Supervisor The film opens with an elaborate, large-scale set piece involving the 400-foot-high Skyview Tower restaurant – and its collapse. Drone footage was digitized to create a 3D asset for the LED wall so the time of day could be changed as needed. “The set that the directors wanted was very large,” says Nordin Rahhali, VFX Supervisor. “We had limited space options in stages given the scale and the footprint of the actual restaurant that they wanted. It was the first set piece, the first big thing we shot, so we had to get it all ready and going right off the bat. We built a bigger volume for our needs, including an LED wall that we built the assets for.” “We were outside Vancouver at Bridge Studios in Burnaby. The custom-built LED volume was a little over 200 feet in length” states Christian Sebaldt, ASC, the movie’s DP. The volume was 98 feet in diameter and 24 feet tall. Rahhali explains, “Pixomondo was the vendor that we contracted to come in and build the volume. They also built the asset that went on the LED wall, so they were part of our filming team and production shoot. Subsequently, they were also the main vendor doing post, which was by design. By having them design and take care of the asset during production, we were able to leverage their assets, tools and builds for some of the post VFX.” Rahhali adds, “It was really important to make sure we had days with the volume team and with Christian and his camera team ahead of the shoot so we could dial it in.” Built at Bridge Studios in Burnaby outside Vancouver, the custom-built LED volume for events at the Skyview restaurant was over 200 feet long, 98 feet wide and 24 feet tall. Extensive previs with Digital Domain was done to advance key shots.Zach Lipovsky and Adam Stein directed Final Destination Bloodlines for New Line film, distributed by Warner Bros., in which chain reactions of small and big events lead to bloody catastrophes befalling those who have cheated death at some point. Pixomondo was the lead VFX vendor, followed by FOLKS VFX. Picture Shop also contributed. There were around 800 VFX shots. Tony Lazarowich was the Special Effects Supervisor. “The Skyview restaurant involved building a massive setwas fire retardant, which meant the construction took longer than normal because they had to build it with certain materials and coat it with certain things because, obviously, it serves for the set piece. As it’s falling into chaos, a lot of that fire was practical. I really jived with what Christian and directors wanted and how Tony likes to work – to augment as much real practical stuff as possible,” Rahhali remarks. “I knew we couldn’t put the whole thing on fire, but Tony tried and put as much fire as he could safely, and then we just built off thatand added a lot more. Even when it’s just a little bit of real fire, the lighting and interaction can’t be simulated, so I think it was a success in terms of blending that practical with the visual.” The Skyview restaurant required building a massive set that was fire retardant. Construction on the set took longer because it had to be built and coated with special materials. As the Skyview restaurant falls into chaos, much of the fire was practical.“We got all the Vancouver skylineso we could rebuild our version of the city, which was based a little on the Vancouver footprint. So, we used all that to build a digital recreation of a city that was in line with what the directors wanted, which was a coastal city somewhere in the States that doesn’t necessarily have to be Vancouver or Seattle, but it looks a little like the Pacific Northwest.” —Christian Sebaldt, ASC, Director of Photography For drone shots, the team utilized a custom heavy-lift drone with three RED Komodo Digital Cinema cameras “giving us almost 180 degrees with overlap that we would then stitch in post and have a ridiculous amount of resolution off these three cameras,” Sebaldt states. “The other drone we used was a DJI Inspire 3, which was also very good. And we flew these drones up at the height. We flew them at different times of day. We flew full 360s, and we also used them for photogrammetry. We got all the Vancouver skyline so we could rebuild our version of the city, which was based a little on the Vancouver footprint. So, we used all that to build a digital recreation of a city that was in line with what the directors wanted, which was a coastal city somewhere in the States that doesn’t necessarily have to be Vancouver or Seattle, but it looks a little like the Pacific Northwest.” Rahhali adds, “All of this allowed us to figure out what we were going to shoot. We had the stage build, and we had the drone footage that we then digitized and created a 3D asset to go on the wallwe could change the times of day” Pixomondo built the volume and the asset that went on the LED wall for the Skyview sequence. They were also the main vendor during post. FOLKS VFX and Picture Shop contributed.“We did extensive previs with Digital Domain,” Rahhali explains. “That was important because we knew the key shots that the directors wanted. With a combination of those key shots, we then kind of reverse-engineeredwhile we did techvis off the previs and worked with Christian and the art department so we would have proper flexibility with the set to be able to pull off some of these shots.some of these shots required the Skyview restaurant ceiling to be lifted and partially removed for us to get a crane to shoot Paulas he’s about to fall and the camera’s going through a roof, that we then digitally had to recreate. Had we not done the previs to know those shots in advance, we would not have been able to build that in time to accomplish the look. We had many other shots that were driven off the previs that allowed the art department, construction and camera teams to work out how they would get those shots.” Some shots required the Skyview’s ceiling to be lifted and partially removed to get a crane to shoot Paul Campbellas he’s about to fall. The character Iris lived in a fortified house, isolating herself methodically to avoid the Grim Reaper. Rahhali comments, “That was a beautiful locationGVRD, very cold. It was a long, hard shoot, because it was all nights. It was just this beautiful pocket out in the middle of the mountains. We in visual effects didn’t do a ton other than a couple of clean-ups of the big establishing shots when you see them pull up to the compound. We had to clean up small roads we wanted to make look like one road and make the road look like dirt.” There were flames involved. Sebaldt says, “The explosionwas unbelievably big. We had eight cameras on it at night and shot it at high speed, and we’re all going ‘Whoa.’” Rahhali notes, “There was some clean-up, but the explosion was 100% practical. Our Special Effects Supervisor, Tony, went to town on that. He blew up the whole house, and it looked spectacular.” The tattoo shop piercing scene is one of the most talked-about sequences in the movie, where a dangling chain from a ceiling fan attaches itself to the septum nose piercing of Erik Campbelland drags him toward a raging fire. Rahhali observes, “That was very Final Destination and a great Rube Goldberg build-up event. Richard was great. He was tied up on a stunt line for most of it, balancing on top of furniture. All of that was him doing it for real with a stunt line.” Some effects solutions can be surprisingly extremely simple. Rahhali continues, “Our producercame up with a great gagseptum ring.” Richard’s nose was connected with just a nose plug that went inside his nostrils. “All that tugging and everything that you’re seeing was real. For weeks and weeks, we were all trying to figure out how to do it without it being a big visual effects thing. ‘How are we gonna pull his nose for real?’ Craig said, ‘I have these things I use to help me open up my nose and you can’t really see them.’ They built it off of that, and it looked great.” Filmmakers spent weeks figuring out how to execute the harrowing tattoo shop scene. A dangling chain from a ceiling fan attaches itself to the septum nose ring of Erik Campbell– with the actor’s nose being tugged by the chain connected to a nose plug that went inside his nostrils. “ome of these shots required the Skyview restaurant ceiling to be lifted and partially removed for us to get a crane to shoot Paulas he’s about to fall and the camera’s going through a roof, that we then digitally had to recreate. Had we not done the previs to know those shots in advance, we would not have been able to build that in time to accomplish the look. We had many other shots that were driven off the previs that allowed the art department, construction and camera teams to work out how they would get those shots.” —Nordin Rahhali, VFX Supervisor Most of the fire in the tattoo parlor was practical. “There are some fire bars and stuff that you’re seeing in there from SFX and the big pool of fire on the wide shots.” Sebaldt adds, “That was a lot of fun to shoot because it’s so insane when he’s dancing and balancing on all this stuff – we were laughing and laughing. We were convinced that this was going to be the best scene in the movie up to that moment.” Rahhali says, “They used the scene wholesale for the trailer. It went viral – people were taking out their septum rings.” Erik survives the parlor blaze only to meet his fate in a hospital when he is pulled by a wheelchair into an out-of-control MRI machine at its highest magnetic level. Rahhali comments, “That is a good combination of a bunch of different departments. Our Stunt Coordinator, Simon Burnett, came up with this hard pull-wire linewhen Erik flies and hits the MRI. That’s a real stunt with a double, and he hit hard. All the other shots are all CG wheelchairs because the directors wanted to art-direct how the crumpling metal was snapping and bending to show pressure on him as his body starts going into the MRI.” To augment the believability that comes with reality, the directors aimed to capture as much practically as possible, then VFX Supervisor Nordin Rahhali and his team built on that result.A train derailment concludes the film after Stefani and her brother, Charlie, realize they are still on death’s list. A train goes off the tracks, and logs from one of the cars fly though the air and kills them. “That one was special because it’s a hard sequence and was also shot quite late, so we didn’t have a lot of time. We went back to Vancouver and shot the actual street, and we shot our actors performing. They fell onto stunt pads, and the moment they get touched by the logs, it turns into CG as it was the only way to pull that off and the train of course. We had to add all that. The destruction of the houses and everything was done in visual effects.” Erik survives the tattoo parlor blaze only to meet his fate in a hospital when he is crushed by a wheelchair while being pulled into an out-of-control MRI machine. Erikappears about to be run over by a delivery truck at the corner of 21A Ave. and 132A St., but he’s not – at least not then. The truck is actually on the opposite side of the road, and the person being run over is Howard. A rolling penny plays a major part in the catastrophic chain reactions and seems to be a character itself. “The magic penny was a mix from two vendors, Pixomondo and FOLKS; both had penny shots,” Rahhali says. “All the bouncing pennies you see going through the vents and hitting the fan blade are all FOLKS. The bouncing penny at the end as a lady takes it out of her purse, that goes down the ramp and into the rail – that’s FOLKS. The big explosion shots in the Skyview with the penny slowing down after the kid throws itare all Pixomondo shots. It was a mix. We took a little time to find that balance between readability and believability.” Approximately 800 VFX shots were required for Final Destination Bloodlines.Chain reactions of small and big events lead to bloody catastrophes befalling those who have cheated Death at some point in the Final Destination films. From left: Kaitlyn Santa Juana as Stefani Reyes, director Adam Stein, director Zach Lipovsky and Gabrielle Rose as Iris.Rahhali adds, “The film is a great collaboration of departments. Good visual effects are always a good combination of special effects, makeup effects and cinematography; it’s all the planning of all the pieces coming together. For a film of this size, I’m really proud of the work. I think we punched above our weight class, and it looks quite good.” #explosive #mix #sfx #vfx #ignites
    WWW.VFXVOICE.COM
    AN EXPLOSIVE MIX OF SFX AND VFX IGNITES FINAL DESTINATION BLOODLINES
    By CHRIS McGOWAN Images courtesy of Warner Bros. Pictures. Final Destination Bloodlines, the sixth installment in the graphic horror series, kicks off with the film’s biggest challenge – deploying an elaborate, large-scale set piece involving the 400-foot-high Skyview Tower restaurant. While there in 1968, young Iris Campbell (Brec Bassinger) has a premonition about the Skyview burning, cracking, crumbling and collapsing. Then, when she sees these events actually starting to happen around her, she intervenes and causes an evacuation of the tower, thus thwarting death’s design and saving many lives. Years later, her granddaughter, Stefani Reyes (Kaitlyn Santa Juana), inherits the vision of the destruction that could have occurred and realizes death is still coming for the survivors. “I knew we couldn’t put the whole [Skyview restaurant] on fire, but Tony [Lazarowich, Special Effects Supervisor] tried and put as much fire as he could safely and then we just built off that [in VFX] and added a lot more. Even when it’s just a little bit of real fire, the lighting and interaction that can’t be simulated, so I think it was a success in terms of blending that practical with the visual.” —Nordin Rahhali, VFX Supervisor The film opens with an elaborate, large-scale set piece involving the 400-foot-high Skyview Tower restaurant – and its collapse. Drone footage was digitized to create a 3D asset for the LED wall so the time of day could be changed as needed. “The set that the directors wanted was very large,” says Nordin Rahhali, VFX Supervisor. “We had limited space options in stages given the scale and the footprint of the actual restaurant that they wanted. It was the first set piece, the first big thing we shot, so we had to get it all ready and going right off the bat. We built a bigger volume for our needs, including an LED wall that we built the assets for.” “We were outside Vancouver at Bridge Studios in Burnaby. The custom-built LED volume was a little over 200 feet in length” states Christian Sebaldt, ASC, the movie’s DP. The volume was 98 feet in diameter and 24 feet tall. Rahhali explains, “Pixomondo was the vendor that we contracted to come in and build the volume. They also built the asset that went on the LED wall, so they were part of our filming team and production shoot. Subsequently, they were also the main vendor doing post, which was by design. By having them design and take care of the asset during production, we were able to leverage their assets, tools and builds for some of the post VFX.” Rahhali adds, “It was really important to make sure we had days with the volume team and with Christian and his camera team ahead of the shoot so we could dial it in.” Built at Bridge Studios in Burnaby outside Vancouver, the custom-built LED volume for events at the Skyview restaurant was over 200 feet long, 98 feet wide and 24 feet tall. Extensive previs with Digital Domain was done to advance key shots. (Photo: Eric Milner) Zach Lipovsky and Adam Stein directed Final Destination Bloodlines for New Line film, distributed by Warner Bros., in which chain reactions of small and big events lead to bloody catastrophes befalling those who have cheated death at some point. Pixomondo was the lead VFX vendor, followed by FOLKS VFX. Picture Shop also contributed. There were around 800 VFX shots. Tony Lazarowich was the Special Effects Supervisor. “The Skyview restaurant involved building a massive set [that] was fire retardant, which meant the construction took longer than normal because they had to build it with certain materials and coat it with certain things because, obviously, it serves for the set piece. As it’s falling into chaos, a lot of that fire was practical. I really jived with what Christian and directors wanted and how Tony likes to work – to augment as much real practical stuff as possible,” Rahhali remarks. “I knew we couldn’t put the whole thing on fire, but Tony tried and put as much fire as he could safely, and then we just built off that [in VFX] and added a lot more. Even when it’s just a little bit of real fire, the lighting and interaction can’t be simulated, so I think it was a success in terms of blending that practical with the visual.” The Skyview restaurant required building a massive set that was fire retardant. Construction on the set took longer because it had to be built and coated with special materials. As the Skyview restaurant falls into chaos, much of the fire was practical. (Photo: Eric Milner) “We got all the Vancouver skyline [with drones] so we could rebuild our version of the city, which was based a little on the Vancouver footprint. So, we used all that to build a digital recreation of a city that was in line with what the directors wanted, which was a coastal city somewhere in the States that doesn’t necessarily have to be Vancouver or Seattle, but it looks a little like the Pacific Northwest.” —Christian Sebaldt, ASC, Director of Photography For drone shots, the team utilized a custom heavy-lift drone with three RED Komodo Digital Cinema cameras “giving us almost 180 degrees with overlap that we would then stitch in post and have a ridiculous amount of resolution off these three cameras,” Sebaldt states. “The other drone we used was a DJI Inspire 3, which was also very good. And we flew these drones up at the height [we needed]. We flew them at different times of day. We flew full 360s, and we also used them for photogrammetry. We got all the Vancouver skyline so we could rebuild our version of the city, which was based a little on the Vancouver footprint. So, we used all that to build a digital recreation of a city that was in line with what the directors wanted, which was a coastal city somewhere in the States that doesn’t necessarily have to be Vancouver or Seattle, but it looks a little like the Pacific Northwest.” Rahhali adds, “All of this allowed us to figure out what we were going to shoot. We had the stage build, and we had the drone footage that we then digitized and created a 3D asset to go on the wall [so] we could change the times of day” Pixomondo built the volume and the asset that went on the LED wall for the Skyview sequence. They were also the main vendor during post. FOLKS VFX and Picture Shop contributed. (Photo: Eric Milner) “We did extensive previs with Digital Domain,” Rahhali explains. “That was important because we knew the key shots that the directors wanted. With a combination of those key shots, we then kind of reverse-engineered [them] while we did techvis off the previs and worked with Christian and the art department so we would have proper flexibility with the set to be able to pull off some of these shots. [For example,] some of these shots required the Skyview restaurant ceiling to be lifted and partially removed for us to get a crane to shoot Paul [Max Lloyd-Jones] as he’s about to fall and the camera’s going through a roof, that we then digitally had to recreate. Had we not done the previs to know those shots in advance, we would not have been able to build that in time to accomplish the look. We had many other shots that were driven off the previs that allowed the art department, construction and camera teams to work out how they would get those shots.” Some shots required the Skyview’s ceiling to be lifted and partially removed to get a crane to shoot Paul Campbell (Max Lloyd-Jones) as he’s about to fall. The character Iris lived in a fortified house, isolating herself methodically to avoid the Grim Reaper. Rahhali comments, “That was a beautiful location [in] GVRD [Greater Vancouver], very cold. It was a long, hard shoot, because it was all nights. It was just this beautiful pocket out in the middle of the mountains. We in visual effects didn’t do a ton other than a couple of clean-ups of the big establishing shots when you see them pull up to the compound. We had to clean up small roads we wanted to make look like one road and make the road look like dirt.” There were flames involved. Sebaldt says, “The explosion [of Iris’s home] was unbelievably big. We had eight cameras on it at night and shot it at high speed, and we’re all going ‘Whoa.’” Rahhali notes, “There was some clean-up, but the explosion was 100% practical. Our Special Effects Supervisor, Tony, went to town on that. He blew up the whole house, and it looked spectacular.” The tattoo shop piercing scene is one of the most talked-about sequences in the movie, where a dangling chain from a ceiling fan attaches itself to the septum nose piercing of Erik Campbell (Richard Harmon) and drags him toward a raging fire. Rahhali observes, “That was very Final Destination and a great Rube Goldberg build-up event. Richard was great. He was tied up on a stunt line for most of it, balancing on top of furniture. All of that was him doing it for real with a stunt line.” Some effects solutions can be surprisingly extremely simple. Rahhali continues, “Our producer [Craig Perry] came up with a great gag [for the] septum ring.” Richard’s nose was connected with just a nose plug that went inside his nostrils. “All that tugging and everything that you’re seeing was real. For weeks and weeks, we were all trying to figure out how to do it without it being a big visual effects thing. ‘How are we gonna pull his nose for real?’ Craig said, ‘I have these things I use to help me open up my nose and you can’t really see them.’ They built it off of that, and it looked great.” Filmmakers spent weeks figuring out how to execute the harrowing tattoo shop scene. A dangling chain from a ceiling fan attaches itself to the septum nose ring of Erik Campbell (Richard Harmon) – with the actor’s nose being tugged by the chain connected to a nose plug that went inside his nostrils. “[S]ome of these shots required the Skyview restaurant ceiling to be lifted and partially removed for us to get a crane to shoot Paul [Campbell] as he’s about to fall and the camera’s going through a roof, that we then digitally had to recreate. Had we not done the previs to know those shots in advance, we would not have been able to build that in time to accomplish the look. We had many other shots that were driven off the previs that allowed the art department, construction and camera teams to work out how they would get those shots.” —Nordin Rahhali, VFX Supervisor Most of the fire in the tattoo parlor was practical. “There are some fire bars and stuff that you’re seeing in there from SFX and the big pool of fire on the wide shots.” Sebaldt adds, “That was a lot of fun to shoot because it’s so insane when he’s dancing and balancing on all this stuff – we were laughing and laughing. We were convinced that this was going to be the best scene in the movie up to that moment.” Rahhali says, “They used the scene wholesale for the trailer. It went viral – people were taking out their septum rings.” Erik survives the parlor blaze only to meet his fate in a hospital when he is pulled by a wheelchair into an out-of-control MRI machine at its highest magnetic level. Rahhali comments, “That is a good combination of a bunch of different departments. Our Stunt Coordinator, Simon Burnett, came up with this hard pull-wire line [for] when Erik flies and hits the MRI. That’s a real stunt with a double, and he hit hard. All the other shots are all CG wheelchairs because the directors wanted to art-direct how the crumpling metal was snapping and bending to show pressure on him as his body starts going into the MRI.” To augment the believability that comes with reality, the directors aimed to capture as much practically as possible, then VFX Supervisor Nordin Rahhali and his team built on that result. (Photo: Eric Milner) A train derailment concludes the film after Stefani and her brother, Charlie, realize they are still on death’s list. A train goes off the tracks, and logs from one of the cars fly though the air and kills them. “That one was special because it’s a hard sequence and was also shot quite late, so we didn’t have a lot of time. We went back to Vancouver and shot the actual street, and we shot our actors performing. They fell onto stunt pads, and the moment they get touched by the logs, it turns into CG as it was the only way to pull that off and the train of course. We had to add all that. The destruction of the houses and everything was done in visual effects.” Erik survives the tattoo parlor blaze only to meet his fate in a hospital when he is crushed by a wheelchair while being pulled into an out-of-control MRI machine. Erik (Richard Harmon) appears about to be run over by a delivery truck at the corner of 21A Ave. and 132A St., but he’s not – at least not then. The truck is actually on the opposite side of the road, and the person being run over is Howard. A rolling penny plays a major part in the catastrophic chain reactions and seems to be a character itself. “The magic penny was a mix from two vendors, Pixomondo and FOLKS; both had penny shots,” Rahhali says. “All the bouncing pennies you see going through the vents and hitting the fan blade are all FOLKS. The bouncing penny at the end as a lady takes it out of her purse, that goes down the ramp and into the rail – that’s FOLKS. The big explosion shots in the Skyview with the penny slowing down after the kid throws it [off the deck] are all Pixomondo shots. It was a mix. We took a little time to find that balance between readability and believability.” Approximately 800 VFX shots were required for Final Destination Bloodlines. (Photo: Eric Milner) Chain reactions of small and big events lead to bloody catastrophes befalling those who have cheated Death at some point in the Final Destination films. From left: Kaitlyn Santa Juana as Stefani Reyes, director Adam Stein, director Zach Lipovsky and Gabrielle Rose as Iris. (Photo: Eric Milner) Rahhali adds, “The film is a great collaboration of departments. Good visual effects are always a good combination of special effects, makeup effects and cinematography; it’s all the planning of all the pieces coming together. For a film of this size, I’m really proud of the work. I think we punched above our weight class, and it looks quite good.”
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