ML Anthology

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

Lukasz Zalewski, Shaogang Gong
CVPR 2005 pp. 217-222
doi:10.1109/CVPR.2005.9 /cvpr/2005/zalewski2005cvpr-d/

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.

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Text

Zalewski and Gong. "2D Statistical Models of Facial Expressions for Realistic 3D Avatar Animation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005. doi:10.1109/CVPR.2005.9

Markdown

[Zalewski and Gong. "2D Statistical Models of Facial Expressions for Realistic 3D Avatar Animation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005.](https://mlanthology.org/cvpr/2005/zalewski2005cvpr-d/) doi:10.1109/CVPR.2005.9

BibTeX

@inproceedings{zalewski2005cvpr-d,
  title     = {{2D Statistical Models of Facial Expressions for Realistic 3D Avatar Animation}},
  author    = {Zalewski, Lukasz and Gong, Shaogang},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2005},
  pages     = {217-222},
  doi       = {10.1109/CVPR.2005.9},
  url       = {https://mlanthology.org/cvpr/2005/zalewski2005cvpr-d/}
}