Computer vision for autonomous vehicles: Problems, datasets and state of the art
Recent years have witnessed enormous progress in AI-related fields such as computer
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …
Artificial intelligence (AI) in augmented reality (AR)-assisted manufacturing applications: a review
Augmented reality (AR) has proven to be an invaluable interactive medium to reduce
cognitive load by bridging the gap between the task-at-hand and relevant information by …
cognitive load by bridging the gap between the task-at-hand and relevant information by …
From coarse to fine: Robust hierarchical localization at large scale
Robust and accurate visual localization is a fundamental capability for numerous
applications, such as autonomous driving, mobile robotics, or augmented reality. It remains …
applications, such as autonomous driving, mobile robotics, or augmented reality. It remains …
Back to the feature: Learning robust camera localization from pixels to pose
Camera pose estimation in known scenes is a 3D geometry task recently tackled by multiple
learning algorithms. Many regress precise geometric quantities, like poses or 3D points …
learning algorithms. Many regress precise geometric quantities, like poses or 3D points …
Cdpn: Coordinates-based disentangled pose network for real-time rgb-based 6-dof object pose estimation
DoF object pose estimation from a single RGB image is a fundamental and long-standing
problem in computer vision. Current leading approaches solve it by training deep networks …
problem in computer vision. Current leading approaches solve it by training deep networks …
Image matching across wide baselines: From paper to practice
We introduce a comprehensive benchmark for local features and robust estimation
algorithms, focusing on the downstream task—the accuracy of the reconstructed camera …
algorithms, focusing on the downstream task—the accuracy of the reconstructed camera …
DISK: Learning local features with policy gradient
Local feature frameworks are difficult to learn in an end-to-end fashion due to the
discreteness inherent to the selection and matching of sparse keypoints. We introduce DISK …
discreteness inherent to the selection and matching of sparse keypoints. We introduce DISK …
Lens: Localization enhanced by nerf synthesis
Abstract Neural Radiance Fields (NeRF) have recently demonstrated photorealistic results
for the task of novel view synthesis. In this paper, we propose to apply novel view synthesis …
for the task of novel view synthesis. In this paper, we propose to apply novel view synthesis …
Scene coordinate reconstruction: Posing of image collections via incremental learning of a relocalizer
We address the task of estimating camera parameters from a set of images depicting a
scene. Popular feature-based structure-from-motion (SfM) tools solve this task by …
scene. Popular feature-based structure-from-motion (SfM) tools solve this task by …
Human poseitioning system (hps): 3d human pose estimation and self-localization in large scenes from body-mounted sensors
Abstract We introduce (HPS) Human POSEitioning System, a method to recover the full 3D
pose of a human registered with a 3D scan of the surrounding environment using wearable …
pose of a human registered with a 3D scan of the surrounding environment using wearable …