Abstract
Motion synthesis methods based on 3D motion data are extensively studied in recent years. And 3D motion styles synthesis has been rarely explored. In this paper, a method for automatic and quantitative synthesis human motion styles is proposed. First extended ISOMAP theory is used to map original motions into low-dimensionality subspaces, which can reserve the intrinsic properties of original data. Synthesis is applied in such new subspaces and motion styles can be reconstructed. Experimental results show that our methods are effective.
This work is supported by Research Planning Project of Department of Education of ZheJiang Province(20070777).
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Xiang, J., Zhu, H. (2008). Automatic Subspace Synthesis of Motion Styles Based on Isomap. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2008. Lecture Notes in Computer Science(), vol 5227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85984-0_138
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DOI: https://doi.org/10.1007/978-3-540-85984-0_138
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