3D Articulated Model from a Stereo Camera
Department of Computer Science
University of Canterbury
This paper presents a novel stereoscopic approach to estimating the three dimensional pose of an articulated model through the use of non-contact computer vision based motion capture. The system is robust in cluttered and dynamic environments, performing real-time three dimensional model generation. Algorithms are presented for fundamental steps in computer vision based motion capture: tracking, and pose estimation, with accurate results computed.