2D statistical models of facial expressions for realistic 3D avatar animation

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 f...

Full description

Saved in:
Bibliographic Details
Published in2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 2; pp. 217 - 222 vol. 2
Main Authors Zalewski, L., Gong, S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Avatars
Computer science
Data mining
Deformable models
Face
Facial animation
Facial muscles
Humans
Logic
Relays
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:0769523722
9780769523729
ISSN:1063-6919
1063-6919
DOI:10.1109/CVPR.2005.9