DocumentCode
3117014
Title
Probabilistic motion sequence generation
Author
Sattler, Mirko ; Sarlette, Ralf ; Klein, Reinhard
Author_Institution
Inst. of Comput. Sci. II, Bonn Univ.
fYear
2004
fDate
19-19 June 2004
Firstpage
514
Lastpage
517
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Graphics International, 2004. Proceedings
Conference_Location
Crete
ISSN
1530-1052
Print_ISBN
0-7695-2171-1
Type
conf
DOI
10.1109/CGI.2004.1309256
Filename
1309256
Link To Document