OpenFace: An open source facial behavior analysis toolkit
View / Open Files
Publication Date
2016-03Journal Title
2016 IEEE Winter Conference on Applications of Computer Vision (WACV)
Conference Name
2016 IEEE Winter Conference on Applications of Computer Vision (WACV)
ISBN
978-1-5090-0641-0
Publisher
IEEE
Type
Conference Object
Metadata
Show full item recordCitation
Baltrusaitis, T., Robinson, P., & Morency, L. (2016). OpenFace: An open source facial behavior analysis toolkit. 2016 IEEE Winter Conference on Applications of Computer Vision (WACV) https://doi.org/10.1109/wacv.2016.7477553
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.
Sponsorship
European Community Seventh Framework Programme (FP7/2007-2013) under grant agreement No. 289021 (ASC-Inclusion).
Identifiers
External DOI: https://doi.org/10.1109/wacv.2016.7477553
This record's URL: https://www.repository.cam.ac.uk/handle/1810/280724
Rights
Licence:
http://www.rioxx.net/licenses/all-rights-reserved
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.