Abstract
Recently, motion capture is widely used in the human animation. But it is still difficult to create new-style animations from the existing motion capture data. In this paper, we propose a novel technique to create the style animations from an existing motion sequence. Firstly, we use linear time-invariant system (LTI) to derive an explicit mapping between the high-dimensional motion capture data and the low-dimensional state variables. Secondly, new style animations are created within the state space. Only a few important keyframes need be modified through adjusting the low-dimensional style variables. The remaining frames of the original motion can be generated automatically. Finally, we design an effective algorithm to calculate the model parameters. Experimental results show that the generated style animations are natural and smooth.
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Zhu, D., Wang, Z., Xia, S. (2006). Style Animations Generated from Dynamic Model. In: Pan, Z., Aylett, R., Diener, H., Jin, X., Göbel, S., Li, L. (eds) Technologies for E-Learning and Digital Entertainment. Edutainment 2006. Lecture Notes in Computer Science, vol 3942. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11736639_124
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DOI: https://doi.org/10.1007/11736639_124
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33423-1
Online ISBN: 978-3-540-33424-8
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