Robust Facial Action Recognition from Real-Time 3D Streams

Abstract

This paper presents a completely automated facial action and facial expression recognition system using 2D + 3D images recorded in real-time by a structured light sensor. It is based on local feature tracking and rule-based classification of geometric, appearance and surface curvature measurements. Good performance is achieved under relatively non-controlled conditions.

Cite

Text

Tsalakanidou and Malassiotis. "Robust Facial Action Recognition from Real-Time 3D Streams." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2009. doi:10.1109/CVPRW.2009.5204281

Markdown

[Tsalakanidou and Malassiotis. "Robust Facial Action Recognition from Real-Time 3D Streams." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2009.](https://mlanthology.org/cvprw/2009/tsalakanidou2009cvprw-robust/) doi:10.1109/CVPRW.2009.5204281

BibTeX

@inproceedings{tsalakanidou2009cvprw-robust,
  title     = {{Robust Facial Action Recognition from Real-Time 3D Streams}},
  author    = {Tsalakanidou, Filareti and Malassiotis, Sotiris},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2009},
  pages     = {4-11},
  doi       = {10.1109/CVPRW.2009.5204281},
  url       = {https://mlanthology.org/cvprw/2009/tsalakanidou2009cvprw-robust/}
}