Novel correspondence-based approach for consistent human skeleton extraction

Authors: Wang, K., Razzaq, A., Wu, Z.K., Tian, F., Ali, S., Jia, T.R., Wang, X.C. and Zhou, M.Q.

http://eprints.bournemouth.ac.uk/22828/

Journal: Multimedia Tools and Applications

DOI: 10.1007/s11042-015-2629-y

This data was imported from Scopus:

Authors: Wang, K., Razzaq, A., Wu, Z., Tian, F., Ali, S., Jia, T., Wang, X. and Zhou, M.

http://eprints.bournemouth.ac.uk/22828/

Journal: Multimedia Tools and Applications

Volume: 75

Issue: 19

Pages: 11741-11762

eISSN: 1573-7721

ISSN: 1380-7501

DOI: 10.1007/s11042-015-2629-y

© 2015, Springer Science+Business Media New York. 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.

This data was imported from Web of Science (Lite):

Authors: Wang, K., Razzaq, A., Wu, Z., Tian, F., Ali, S., Jia, T., Wang, X. and Zhou, M.

http://eprints.bournemouth.ac.uk/22828/

Journal: MULTIMEDIA TOOLS AND APPLICATIONS

Volume: 75

Issue: 19

Pages: 11741-11762

eISSN: 1573-7721

ISSN: 1380-7501

DOI: 10.1007/s11042-015-2629-y

The data on this page was last updated at 04:52 on April 23, 2019.