Authors: Kang Wang Abdul Razzaq Zhongke Wu Feng Tian Sajid Ali Taorui Jia Xingce Wang Mingquan Zhou
Publish Date: 2015/04/30
Volume: 75, Issue: 19, Pages: 11741-11762
Abstract
This paper presents a novel basepointsdriven shape correspondence BSC approach to extract skeletons of articulated objects from 3D mesh shapes The skeleton extraction based on BSC approach is more accurate than the traditional direct skeleton extraction methods Since 3D shapes provide more geometric information BSC offers the consistent information between the source shape and the target shapes In this paper we first extract the skeleton from a template shape such as the source shape automatically Then the skeletons of the target shapes of different poses are generated based on the correspondence relationship with source shape The accuracy of the proposed method is demonstrated by presenting a comprehensive performance evaluation on multiple benchmark datasets The results of the proposed approach can be applied to various applications such as skeletondriven animation shape segmentation and human motion analysis
Keywords: