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Computer Graphics International 2004 (CGI'04)
Probabilistic Motion Sequence Generation
Crete, Greece
June 16-June 19
ISBN: 0-7695-2171-1
Mirko Sattler, University of Bonn
Ralf Sarlette, University of Bonn
Reinhard Klein, University of Bonn
Creating long animation sequences with non-trivial repetitions is a time consuming and often difficult task. This is true for 2D images and even more true for 3D sequences. Based upon the idea of video textures we propose a simple algorithm to create new user controlled animation sequences based only on a few key frames by the analysis of velocity and position coherence. The simplicity of the method is achieved by carrying out the calculations on the main principal components of the reference animation, hence reducing the dimensionality of the input data. This also leads to significant compression. Smooth animations are ensured, using one of the proposed blending schemes.
Citation:
Mirko Sattler, Ralf Sarlette, Reinhard Klein, "Probabilistic Motion Sequence Generation," cgi, pp.514-517, Computer Graphics International 2004 (CGI'04), 2004
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