Abstract
Extracting key frames from human motion capture data is a hot issue of computer animation in recent years. Though the reconstruction error of the key frames by current methods is small, the number of key frames still needs to be reduced. In order to produce results with less key frames and small reconstruction error, we propose a method employing hybrid particle swarm optimization algorithm to extract key frames. By introducing evolution strategy of Genetic Algorithm (GA) to hybrid particle swarm optimization algorithm, the method can get key frames with optimal compression ratio and small reconstruction error. Experimental results show the effectiveness of our method.
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