摘要
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.
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.
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 CCP （China Computer Federation）-Tencent Open Research Fund of China under Grant No. AGR20160118.
