DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth
DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth
Articulated hand pose and shape estimation is an important problem for vision-based applications such as augmented reality and animation.In contrast to the existing methods which optimize only for joint positions, we propose a fully supervised deep network which learns to jointly estimate a full 3D hand mesh representation and pose …