GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation
GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation
6D pose estimation from a single RGB image is a fundamental task in computer vision. The current top-performing deep learning-based methods rely on an indirect strategy, i.e., first establishing 2D-3D correspondences between the coordinates in the image plane and object coordinate system, and then applying a variant of the PnP/RANSAC …