3D Human Body Skeleton Extraction from Consecutive Surfaces

Zhang, Yong; Tan, Fei; Wang, Shaofan; Kong, Dehui; Yin, Baocai

3D Human Body Skeleton Extraction from Consecutive Surfaces

Files

053-057.pdf (6.13 MB)

Date

2019

Authors

Zhang, Yong
Tan, Fei
Wang, Shaofan
Kong, Dehui
Yin, Baocai

Publisher

The Eurographics Association

Abstract

Extracting human body skeletons from consecutive surfaces is an important research topic in the fields of computer graphics and human computer interaction, especially in posture estimation and skeleton animation. Current approaches mainly suffer from following problems: insufficient time and space continuity, not robust to background, ambient noise, etc. Our approach is to improve against these shortcomings. This paper proposes a 3D human body skeleton extraction method from consecutive meshes. We extract the consistent skeletons from consecutive surfaces based on shape segmentation and construct skeleton sequences, then we use the continuous frame skeleton point optimization model we proposed to optimize the skeleton sequences, generating the final skeleton point sequences which are more accurate. Finally, we verify that our method can obtain more complete and accurate skeletons compared to other methods through many experiments.

        @inproceedings{10.2312:pg.20191339
,
booktitle = {Pacific Graphics Short Papers
},
editor = {Lee, Jehee and Theobalt, Christian and Wetzstein, Gordon
},
title = {{3D Human Body Skeleton Extraction from Consecutive Surfaces
}},
author = {Zhang, Yong and 
Tan, Fei and 
Wang, Shaofan and 
Kong, Dehui and 
Yin, Baocai
},
year = {2019
},
publisher = {The Eurographics Association
},
ISSN = {-
},
ISBN = {978-3-03868-099-4
},
DOI = {10.2312/pg.20191339
}
}