会议专题

Efficient Construction and Search of Motion Graph

Motion graphs have been widely used as effective technique in the synthesis of human motions. A good motion graph should take into account both motion diversity and time cost in construction and search. However, time cost grows quickly as graph size increases. In this paper, we present a method to set up a hierarchical structure, which can preserve the motion clip boundary and transition boundary between different behaviors and styles. This structure guides a faster and more reasonable graph establishment, and allows local optimization to be performed during the construction. After the building process, this structure also helps with motion graph search, by making traverse search into direct table look up or local search. Moreover, a navigation map is introduced to conduct appropriate path when there is no direct connection between two motions. The experimental results indicate that the hierarchical structure together with navigation map could lower the computation time in construction and search, while providing a richer variety of motion styles simultaneously.

motion synthesis motion graph motion capture registration curve motion interpolation

Yaru Yin Lizhuang Ma Yan Gao

School of Software, School of Electronic and Electric Engineering Shanghai Jiao Tong University Shan School of Software East China Normal University Shanghai, China

国际会议

2010 International Conference on Information Security and Artificial Intelligence(2010年信息安全与人工智能国际会议 ISAI 2010)

成都

英文

281-285

2010-12-17(万方平台首次上网日期,不代表论文的发表时间)