EURASIP Journal on Advances in Signal Processing 
Volume 2009 (2009), Article ID 346425, 9 pages
doi:10.1155/2009/346425
Research Article

Motion Segmentation for Time-Varying Mesh Sequences Based on Spherical Registration

Toshihiko Yamasaki and Kiyoharu Aizawa

 Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo, Engineering Building no. 2, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113 8656, Japan
Received 30 September 2007; Accepted 7 March 2008

Recommended by Thomas Sikora

Abstract

A highly accurate motion segmentation technique for time-varying mesh (TVM) is presented. In conventional approaches, motion of the objects was analyzed using shape feature vectors extracted from TVM frames. This was because it was very difficult to locate and track feature points in the objects in the 3D space due to the fact that the number of vertices and connection varies each frame. In this study, we developed an algorithm to analyze the objects' motion in the 3D space using the spherical registration based on the iterative closest-point algorithm. Rough motion tracking is conducted and the degree of motion is robustly calculated by this method. Although the approach is straightforward, much better motion segmentation results than the conventional approaches are obtained by yielding such high precision and recall rates as 95% and 92% on average.