Efficient Construction and Search of Motion Graph

Motion graph 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 grow quickly as graph size increases. In this paper, we present a method to set up 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.