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Recognising Spontaneous Facial Micro-Expressions

Tomas Pfister, Xiaobai Li, Guoying Zhao, Matti Pietikäinen
ICCV 2011 pp. 1449-1456
doi:10.1109/ICCV.2011.6126401 /iccv/2011/pfister2011iccv-recognising/

Abstract

Facial micro-expressions are rapid involuntary facial expressions which reveal suppressed affect. To the best knowledge of the authors, there is no previous work that successfully recognises spontaneous facial micro-expressions. In this paper we show how a temporal interpolation model together with the first comprehensive spontaneous micro-expression corpus enable us to accurately recognise these very short expressions. We designed an induced emotion suppression experiment to collect the new corpus using a high-speed camera. The system is the first to recognise spontaneous facial micro-expressions and achieves very promising results that compare favourably with the human micro-expression detection accuracy.

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Text

Pfister et al. "Recognising Spontaneous Facial Micro-Expressions." IEEE/CVF International Conference on Computer Vision, 2011. doi:10.1109/ICCV.2011.6126401

Markdown

[Pfister et al. "Recognising Spontaneous Facial Micro-Expressions." IEEE/CVF International Conference on Computer Vision, 2011.](https://mlanthology.org/iccv/2011/pfister2011iccv-recognising/) doi:10.1109/ICCV.2011.6126401

BibTeX

@inproceedings{pfister2011iccv-recognising,
  title     = {{Recognising Spontaneous Facial Micro-Expressions}},
  author    = {Pfister, Tomas and Li, Xiaobai and Zhao, Guoying and Pietikäinen, Matti},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2011},
  pages     = {1449-1456},
  doi       = {10.1109/ICCV.2011.6126401},
  url       = {https://mlanthology.org/iccv/2011/pfister2011iccv-recognising/}
}