Vision-based Realtime Animation Synthesis

摘要：

This paper introduces the design of our real time vision-based motion performance animation system. The system requires user to wear a small set of markers. The low-dimensional control signals from users performance are first used to construct a series of local models, which could be later used to animation synthesis. When constructing local models, we preprocess motion capture data to K-nearest neighborhood graph and store these data in KD-tree to ensure model building is real-time. In animation synthesis, we use an approach named locally weighted linear regression to synthesis the animation data closest to current pose. The performance of the system is tested by having users do three kinds of motion: running, walking and jumping.

关键词： Animation synthesis KD-tree Locally weighted linear regression Low-dimensional signals.

作者: Shuai Ye Xin Wang Cheng Ren Sheng Yong Chen

作者单位: College of Computer Science and Technology Zhejiang University of Technology Hangzhou, China College of Computer Science and Technology Zhejiang University of Technology, 310023 Hangzhou, China

会议类型: 国际会议

会议名称: 2011 Third International Conference on Intelligent Human-Machine Systems and Cybernetics 第三届智能人机系统与控制论国际会议 IHMSC 2011

会议地点: 杭州

会议语种:英文

页码: 458-461

在线出版日期: 2011-08-26（万方平台首次上网日期，不代表论文的发表时间）