Motion retrieval and synthesis based on posture features indexing

This paper presents a simple and effective approach to synthesize new motions from a given sequence of continuous motion capture data. First, an index function, based on posture features of each motion frame, is introduced to segment the given motion capture data into indexed motion clips. Then, based on the fact that motion coherence implies index coherence, a new motion with start frame f_start and end frame f_end can be synthesized by finding a smooth path connecting f_start to f_end in the multidimensional index space. Moreover, an algorithm for finding multiple smooth paths is presented. The merit of proposed framework is that it can generate fast prototyping of desired motions with only a small amount of preprocessing time. Experimental results are given to show the effectiveness of the proposed framework.