ML Anthology

Modeling and Exploiting the Spatio-Temporal Facial Action Dependencies for Robust Spontaneous Facial Expression Recognition

Yan Tong, Jixu Chen, Qiang Ji
CVPRW 2009 pp. 34-41
doi:10.1109/CVPRW.2009.5204263 /cvprw/2009/tong2009cvprw-modeling/

Abstract

Facial action provides various types of messages for human communications. Recognizing spontaneous facial actions, however, is very challenging due to subtle facial deformation, frequent head movements, and ambiguous and uncertain facial motion measurements. As a result, current research in facial action recognition is limited to posed facial actions and often in frontal view.

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Cite

Text

Tong et al. "Modeling and Exploiting the Spatio-Temporal Facial Action Dependencies for Robust Spontaneous Facial Expression Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2009. doi:10.1109/CVPRW.2009.5204263

Markdown

[Tong et al. "Modeling and Exploiting the Spatio-Temporal Facial Action Dependencies for Robust Spontaneous Facial Expression Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2009.](https://mlanthology.org/cvprw/2009/tong2009cvprw-modeling/) doi:10.1109/CVPRW.2009.5204263

BibTeX

@inproceedings{tong2009cvprw-modeling,
  title     = {{Modeling and Exploiting the Spatio-Temporal Facial Action Dependencies for Robust Spontaneous Facial Expression Recognition}},
  author    = {Tong, Yan and Chen, Jixu and Ji, Qiang},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2009},
  pages     = {34-41},
  doi       = {10.1109/CVPRW.2009.5204263},
  url       = {https://mlanthology.org/cvprw/2009/tong2009cvprw-modeling/}
}