Incomplete motion data reconstruction for character animation
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Journal: Proceedings of the IADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processing 2009, CGVCVIP 2009. Part of the IADIS MCCSIS 2009
This paper explores the technique that employs Principal Component Analysis (PCA) for motion synthesis and incomplete motion data reconstruction. A low dimensional space of human motion patterns are generated from a large amount motion capture data using PCA. The generated motion pattern is then applied to synthesize different scaled human character animations with a different speed by interpolation and extrapolation from existing motion patterns. According to animators' desire, we also construct incomplete motion data for a long and continuous motion sequences. This technique provides flexibility for animators to efficiently re-use existing motion capture data for character animation. © 2009 IADIS.