Generating Motion Graphs From Clusters Of Individual Poses
2009 24TH INTERNATIONAL SYMPOSIUM ON COMPUTER AND INFORMATION SCIENCES(2009)
摘要
In this paper, we propose a methodology to generate novel motion clips from existing motion capture data. We present an automated procedure that performs clustering on the data in order to generate a robust and powerful motion graph. We discard the temporal connection between frames during clustering phase, which lets us spot hubs that motions tend to visit more often and use these poses. as nodes of our motion graph. This approach greatly reduces computational times and complexity of the final graph structure while maintaining the representational power.
更多查看译文
关键词
hidden markov models,computer animation,animation,data mining,databases,pose estimation,graph theory,character animation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要