? A Survey on Human Performance Capture and Animation
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Journal of Computer Science and Technology 2017, Vol. 32 Issue (3) :536-554    DOI: 10.1007/s11390-017-1742-y
Special Issue on Software Engineering for High-Confidence Systems Current Issue | Archive | Adv Search << Previous Articles | Next Articles >>
A Survey on Human Performance Capture and Animation
Shihong Xia1, Member, CCF, ACM, Lin Gao1,*, Member, CCF, ACM, Yu-Kun Lai2, Member, IEEE Ming-Ze Yuan1,3, Jinxiang Chai4, Member, ACM
1. Advanced Computing Research Laboratory, Institute of Computing Technology, Chinese Academy of Sciences Beijing 100190, China;
2. School of Computer Science and Informatics, Cardiff University, Cardiff CF243 AA, U.K.;
3. University of Chinese Academy of Sciences, Beijing 100049, China;
4. Department of Computer Science and Engineering, Texas A & M University, College Station, Texas 77843-3112, U.S.A

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Abstract With the rapid development of computing technology, three-dimensional (3D) human body models and their dynamic motions are widely used in the digital entertainment industry. Human performance mainly involves human body shapes and motions. Key research problems in human performance animation include how to capture and analyze static geometric appearance and dynamic movement of human bodies, and how to simulate human body motions with physical effects. In this survey, according to the main research directions of human body performance capture and animation, we summarize recent advances in key research topics, namely human body surface reconstruction, motion capture and synthesis, as well as physics-based motion simulation, and further discuss future research problems and directions. We hope this will be helpful for readers to have a comprehensive understanding of human performance capture and animation.
Articles by authors
Shihong Xia
Lin Gao
Yu-Kun Lai
Ming-Ze Yuan
Jinxiang Chai
Keywordshuman surface reconstruction   body motion capture   motion synthesis   physics-based motion simulation     
Received 2017-04-14;
Fund:

This work was supported by the Knowledge Innovation Program of the Institute of Computing Technology of the Chinese Academy of Sciences under Grant No. ICT20166040, the Science and Technology Service Network Initiative of Chinese Academy of Sciences under Grant No. KFJ-STS-ZDTP-017, the National Natural Science Foundation of China under Grant Nos. 61502453 and 61611130215, the Royal Society-Newton Mobility Grant of UK under Grant No. IE150731, and the CCF (China Computer Federation)-Tencent Open Research Fund of China under Grant No. AGR20160118.

Corresponding Authors: Lin Gao     Email: gaolin@ict.ac.cn
About author: Shihong Xia is a professor associated with the Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing. He received his Bachelor's degree in mathematics from the Sichuan Normal University (1996), Chengdu. He completed his Master's degree in applied mathematics (1999) and Ph.D. degree in computer software and theory (2002) from University of Chinese Academy of Sciences, Beijing. His research interests include computer graphics, virtual reality and artificial intelligence.
Cite this article:   
Shihong Xia, Lin Gao, Yu-Kun Lai, Ming-Ze Yuan, Jinxiang Chai.A Survey on Human Performance Capture and Animation[J]  Journal of Computer Science and Technology, 2017,V32(3): 536-554
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http://jcst.ict.ac.cn:8080/jcst/EN/10.1007/s11390-017-1742-y
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