Openface 2.0: 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 2.0 - a 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 2.0 is an extension of OpenFace toolkit and is capable of more accurate facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation. The computer vision algorithms which represent the core of OpenFace 2.0 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, unlike a lot of modern approaches or toolkits, OpenFace 2.0 source code for training models and running them is freely available for research purposes.
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OpenFace 2.0 works well to find faces even when there are changes in face orientation, intensity fluctuations, and the position of the capturing device.
“The primary justification for using OpenFace 2.0 for face identification is that this method works well to find faces even when there are changes in face orientation, intensity fluctuations, and the position of the capturing device.”
From An efficient deepfake video detection using robust deep learning (2024) · cites this paper as [11]
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- Authors
- Baltrusaitis, T., Zadeh, A., Lim, Y. C., & Morency, L.-P.
- Affiliations
- Carnegie Mellon University (US)
- Venue
- 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)
- Publisher
- IEEE
- Published
- 2018-05
- Pages
- 59-66
- ISSN
- 1541-5058 (ISSN-L)
- OpenAlex
- W2807126412
- Cited by
- 1,861
- References
- 3
- Citations by year
- 2026: 171 · 2025: 238 · 2024: 271 · 2023: 283 · 2022: 285 · 2021: 293 · 2020: 196 · 2019: 109 · 2018: 15
- FWCI
- 46.20
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Automatic Face and Gesture Recognition (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
- Keywords
- facial landmark detection, head pose estimation, facial action unit recognition, gaze estimation, affective computing, real-time face analysis, open-source software toolkit
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