Multi-Camera Egocentric Hand Pose Estimation
In this project, we aim to develop a new method for multi-camera egocentric hand pose estimation. Using cameras mounted on the head, wrists, and pelvis, the project explores how multiple egocentric viewpoints can be combined to overcome occlusions and achieve more accurate 3D hand tracking.