2D Statistical Models of Facial Expressions for Realistic 3D Avatar Animation

Authors:
Lukasz Zalewski;Shaogang Gong
Affiliations:
University of London;University of London
Venue:
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Year:
2005

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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 combinations 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.