In this paper, we present an example-based motion synthesis technique. Users can interactively control the virtual character to perform desired actions in any order. The desired action can be not only recorded or pre-computed motion, but also parametric synthesized one to attain the precise control of avatars. Moreover, a user can change their commands any time to switch to another action according to the instant response of opponents in fighting. The quality transition motions between consecutive actions are rapidly synthesized through traversing a simple graph structure which represents the transition relationships between different poses. The graph is constructed according to clustering on frames in a corpus of motion capture data. With the pre-computation of path finding, our approach can also be applied to real-time applications. Besides, this pre-computed graph structure can be used to transit those motions not included in the database. Furthermore, our approach is automatic without any human intervention. The final results demonstrate the potential of our algorithm.
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 shown the effectiveness of the proposed framework.
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