Pose Registration

Pose registration aims to determine the spatial orientation and location of an object or scene, a crucial task in robotics and computer vision. Current research focuses on improving accuracy and robustness, particularly in challenging scenarios like few-view settings, noisy data, and the presence of occlusions, employing techniques such as transformer networks, differentiable phase correlation, and reinforcement learning for optimization. These advancements are driving progress in applications ranging from 3D reconstruction and markerless motion capture to robotic manipulation and autonomous navigation.