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 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.

• Type: Conference
• Year: 2005
• Where: CVPR
• Authors: Lukasz Zalewski, Shaogang Gong
• Keywords: Computer Vision, CVPR 2005, Facial Expressions, Latent Variable Models, Level Models, Low Level Component, Realistic 3d Avatar