Finding Approximate Convex Shapes in RGBD Images

Saurabh Gupta: Scene Understanding from RGB-D ImagesПодробнее

Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D ImagesПодробнее

Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D ImagesПодробнее

Sliding Shapes for 3D Object Detection in RGB-D ImagesПодробнее

SceneCAD: Predicting Object Alignmentsand Layouts in RGB-D Scans (ECCV 2020)Подробнее

Shading-Based Shape Refinement of RGB-D ImagesПодробнее

Object Shape Categorization in RGBD Images using Hierarchical Graph Constellation ModelsПодробнее

Fast Graph-Based Object Segmentation for RGB-D ImagesПодробнее

Shape Completion from a Single RGBD Image (IEEE TVCG 2016)Подробнее

3DMatch: Learning Local Geometric Descriptors from RGB-D ReconstructionsПодробнее

Semi-Dense Visual Odometry for RGB-D Cameras Using Approximate Nearest Neighbour FieldsПодробнее

Robust Odometry Estimation for RGB-D CamerasПодробнее

RigidFusion: RGB-D Scene Reconstruction with Rigidly-moving Objects | Eurographics'2021 Full PaperПодробнее

TexMesh: Reconstructing Detailed HumanTexture and Geometry from RGB-D VideoПодробнее

Visual Odometry from Kinect RGBD-ImagesПодробнее

Detection and Fine 3D Pose Estimation of Texture-less Objects in RGB-D ImagesПодробнее

Real-Time Non-Rigid Reconstruction Using an RGB-D CameraПодробнее

Multiple View Geometry - Lecture 14 (Prof. Daniel Cremers)Подробнее

RGBD-Fusion: Real-Time High Precision Depth RecoveryПодробнее