2D Statistical Models of Facial Expressions for Realistic 3D Avatar Animation
| Autor: | Lukasz Zalewski, Shaogang Gong |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Facial expression
Computer science business.industry Statistical model Animation Facial recognition system Facial muscles medicine.anatomical_structure Face (geometry) Component (UML) medicine Computer vision Artificial intelligence business Computer facial animation Computer animation ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | CVPR (2) |
| DOI: | 10.1109/cvpr.2005.9 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|