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The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

OpenFace: An open source facial behavior analysis toolkit

Open access
Baltrusaitis, Tadas, Robinson, Peter, Morency, Louis-Philippe·2016·2016 IEEE Winter Conference on Applications of Computer Vision (WACV)
DOI 10.1109/wacv.2016.7477553
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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.

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Citations

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Show all 7 references

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Cited by

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Metadata

Authors
Baltrusaitis, T., Robinson, P., & Morency, L.-P.
Venue
2016 IEEE Winter Conference on Applications of Computer Vision (WACV)
Publisher
IEEE
Published
2016-03
Pages
1-10
ISSN
2472-6737 (ISSN-L)
DOI
10.1109/wacv.2016.7477553
OpenAlex
W2395639500
Cited by
1,747
References
7
FWCI
62.26
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: OpenFace: An open source facial behavior analysis toolkit. https://app.cochat.ai/papers/10.1109/wacv.2016.7477553
The paper
Baltrusaitis, T., Robinson, P., & Morency, L.-P. (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

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