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.2009.5204281Markdown
[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.2009.5204281BibTeX
@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/}
}