Title :
Probabilistic motion sequence generation
Author :
Sattler, Mirko ; Sarlette, Ralf ; Klein, Reinhard
Author_Institution :
Inst. of Comput. Sci. II, Bonn Univ.
Abstract :
Creating long animation sequences with nontrivial 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
Keywords :
computer animation; image motion analysis; image reconstruction; image sequences; image texture; principal component analysis; probability; 2D image sequences; 3D image sequences; animation sequences; image compression; principal component analysis; probabilistic motion sequence generation; video texture; Algorithm design and analysis; Animation; Avatars; Humans; Image sequences; Information geometry; Motion analysis; Motion control; Principal component analysis; Reflection;
Conference_Titel :
Computer Graphics International, 2004. Proceedings
Conference_Location :
Crete
Print_ISBN :
0-7695-2171-1
DOI :
10.1109/CGI.2004.1309256