Skip to main content

Novel Correspondence-based Approach for Consistent Human Skeleton Extraction.

Wang, K., Razzaq, A., Wu, Z.K., Tian, F., Ali, S., Jia, T.R., Wang, X.C. and Zhou, M.Q., 2015. Novel Correspondence-based Approach for Consistent Human Skeleton Extraction. Multimedia Tools and Applications.

Full text available as:

Novel Correspondence-based Approach for Consistent Human Skeleton Extraction.pdf - Accepted Version


DOI: 10.1007/s11042-015-2629-y


This paper presents a novel base-points-driven 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 skeleton-driven animation, shape segmentation and human motion analysis.

Item Type:Article
Uncontrolled Keywords:Shape correspondence Heat Kernel signature Mesh contraction Skeleton extraction
Group:Faculty of Science & Technology
ID Code:22828
Deposited By: Symplectic RT2
Deposited On:21 Oct 2015 10:46
Last Modified:14 Mar 2022 13:53


Downloads per month over past year

More statistics for this item...
Repository Staff Only -