OpenFace: An Open Source Facial Behavior Analysis Toolkit

Abstract

Over the past few years, there has been an increased interest in automatic facial behavior analysis and understanding. We present OpenFace - an open source tool intended for computer vision and machine learning researchers, affective computing community and people interested in building interactive applications based on facial behavior analysis. OpenFace is the first open source tool capable of facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation. The computer vision algorithms which represent the core of OpenFace demonstrate state-of-the-art results in all of the above mentioned tasks. Furthermore, our tool is capable of real-time performance and is able to run from a simple webcam without any specialist hardware. Finally, OpenFace allows for easy integration with other applications and devices through a lightweight messaging system.

Cite

Text

Baltrusaitis et al. "OpenFace: An Open Source Facial Behavior Analysis Toolkit." IEEE/CVF Winter Conference on Applications of Computer Vision, 2016. doi:10.1109/WACV.2016.7477553

Markdown

[Baltrusaitis et al. "OpenFace: An Open Source Facial Behavior Analysis Toolkit." IEEE/CVF Winter Conference on Applications of Computer Vision, 2016.](https://mlanthology.org/wacv/2016/baltrusaitis2016wacv-openface/) doi:10.1109/WACV.2016.7477553

BibTeX

@inproceedings{baltrusaitis2016wacv-openface,
  title     = {{OpenFace: An Open Source Facial Behavior Analysis Toolkit}},
  author    = {Baltrusaitis, Tadas and Robinson, Peter and Morency, Louis-Philippe},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
  year      = {2016},
  pages     = {1-10},
  doi       = {10.1109/WACV.2016.7477553},
  url       = {https://mlanthology.org/wacv/2016/baltrusaitis2016wacv-openface/}
}