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Local Facial Asymmetry for Expression Classification

Sinjini Mitra, Yanxi Liu
CVPR 2004 pp. 889-894
doi:10.1109/CVPR.2004.151 /cvpr/2004/mitra2004cvpr-local/

Abstract

We explore a novel application of facial asymmetry: expression classification. Using 2D facial expression images, we show the effectiveness of automatically selected local facial asymmetry for expression recognition. Quantitative evaluations of expression classification using local asymmetry demonstrate statistically significant improvements over expression classification results on the same data set without explicit representation of facial asymmetry. A comparison of discriminative local facial asymmetry features for expression classification versus human identification is given.

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Cite

Text

Mitra and Liu. "Local Facial Asymmetry for Expression Classification." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004. doi:10.1109/CVPR.2004.151

Markdown

[Mitra and Liu. "Local Facial Asymmetry for Expression Classification." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004.](https://mlanthology.org/cvpr/2004/mitra2004cvpr-local/) doi:10.1109/CVPR.2004.151

BibTeX

@inproceedings{mitra2004cvpr-local,
  title     = {{Local Facial Asymmetry for Expression Classification}},
  author    = {Mitra, Sinjini and Liu, Yanxi},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2004},
  pages     = {889-894},
  doi       = {10.1109/CVPR.2004.151},
  url       = {https://mlanthology.org/cvpr/2004/mitra2004cvpr-local/}
}