Motion indexing and synthesis

In this study, we propose 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 fend can be synthesized by finding a smooth path connecting f_start to f_end in the multidimensional index space. Moreover, an algorithm for finding smooth paths is presented and a relevance feedback mechanism is provided to refine the results. The merit of the 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 shown the effectiveness of the proposed framework.