RECOVERING ARTICULATED POSE OF 3D POINT CLOUDS

We present an efficient optimization method to determine the 3D pose of a human from a point cloud. The well-known ICP algorithm is adapted to fit a generic articulated template to the 3D points. Each iteration jointly refines the parameters for rigid alignment, uniform scale as well as all joint angles. In experimental results we demonstrate the effectiveness of this computationally efficient approach.