Model-based 3D hand posture estimation from a single 2D image

摘要

Passive sensing of the 3D geometric posture of the human hand has been studied extensively over the past decade. However, these research efforts have been hampered by the computational complexity caused by inverse kinematics and 3D reconstruction. In this paper, our objective focuses on 3D hand posture estimation based on a single 2D image. We introduce the human human hand model with 27 degrees of freedom (DOFs) and analyze some of its constraints to reduce the 27 to 12 DOFs without any significant degradation of performance.