DocumentCode :
3549099
Title :
2D statistical models of facial expressions for realistic 3D avatar animation
Author :
Zalewski, Lukasz ; Gong, Shaogang
Author_Institution :
Dept. of Comput. Sci., London Univ., UK
Volume :
2
fYear :
2005
fDate :
20-25 June 2005
Firstpage :
217
Abstract :
We address the issue of modelling facial expressions for realistic 3D avatar animation. We introduce a hierarchical decomposition of a human face into different components and model them according to their intrinsic functionalities. The parametrisation of the expressions is achieved in a two-level framework. First level accounts for the low level component facial actions and is represented by hierarchical latent variable models. The second level models the final expressions as a combination of subcomponent information extracted from the lower level using combinatorial logic. Finally we produce continuous animation curves that are used to animate 3D avatar in a morph-based fashion. Our approach is entirely based on 2D information extracted from the input source.
Keywords :
avatars; computer animation; face recognition; feature extraction; statistical analysis; 2D information extraction; 2D statistical models; combinatorial logic; continuous animation curves; facial actions; facial expressions; hierarchical latent variable models; human face; realistic 3D avatar animation; Avatars; Computer science; Data mining; Deformable models; Face; Facial animation; Facial muscles; Humans; Logic; Relays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-2372-2
Type :
conf
DOI :
10.1109/CVPR.2005.9
Filename :
1467445
Link To Document :
بازگشت