Hierarchical mesh decomposition and motion tracking for Time-Varying-Meshes
Ning Sung Lee, Toshihiko Yamasaki, Kiyoharu Aizawa · 2008
This paper proposes a system for automatic segmentation and motion tracking of Time-Varying-Meshes (TVM). Our approach is based on skeleton-based hierarchical mesh decomposition by distance calculation. The properties of the human skeleton structure are used to define the decomposition of each TVM frame. The proposed framework is a recursive system that iterates between automatic hierarchical decomposition on minimum distance satisfaction and skeleton realignment. This is done to achieve a stable segmentation and a refined skeleton. By utilizing color information, ill-defined meshes can be successfully segmented. Results show an average disparity of 1.39% of total surface area across all segmented parts, which indicate stability of the system. In addition, motion tracking is successfully performed through the use of refined skeletons.