? 人体运动捕捉与模拟仿真技术综述
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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 Section of CVM 2017 << Previous Articles | Next Articles >>
人体运动捕捉与模拟仿真技术综述
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
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

摘要
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摘要 随着计算技术的飞速发展,三维(3D)人体建模及其运动模拟仿真技术被广泛应用于数字娱乐行业。人体的运动行为主要包括人体的表面模型与模型运动两个方面。研究的主要问题包括如何捕获和分析人体的静态模型和人体的运动,以及如何通过物理原理建模人体的运动。在本综述中,根据人体运动行为的捕获以及模拟仿真的主要研究方向,总结了人体表面重建,运动捕捉与合成以及基于物理的运动模拟仿真等关键研究问题的最新进展,并进一步探讨了未来的研究问题和方向。我们希望这将有助于读者全面了解人体运动捕捉和模拟仿真技术。
关键词人体表面重建   人体运动捕获   运动合成   基于物理的运动模拟仿真     
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.
Keywordshuman surface reconstruction   body motion capture   motion synthesis   physics-based motion simulation     
Received 2017-04-14;
本文基金:

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.

通讯作者: 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.
引用本文:   
Shihong Xia, Lin Gao, Yu-Kun Lai, Ming-Ze Yuan, Jinxiang Chai.人体运动捕捉与模拟仿真技术综述[J]  Journal of Computer Science and Technology , 2017,V32(3): 536-554
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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