A benchmark of dynamic versus static methods for facial action unit detection-Reference-Cited by-同舟云学术

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A benchmark of dynamic versus static methods for facial action unit detection

Published:2021-04-20 Issue:5 Volume:2021 Page:252-266
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:J. eng.

Author:

Alharbawee L.¹²,Pugeault N.¹³^ORCID

Affiliation:

1. College of Engineering Mathematics and Physical Sciences University of Exeter Exeter UK

2. College of Computer Sciences and Mathematics Statistics and Informatics department University of Mosul Mosul Iraq

3. School of Computing Science University of Glasgow Glasgow Scotland

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/tje2.12001

Reference68 articles.

1. A Dynamic Appearance Descriptor Approach to Facial Actions Temporal Modeling

2. Li W. et al.:Action unit detection with region adaptation multi‐labeling learning and optimal temporal fusing. In:Computer Vision and Pattern Recognition (CVPR) pp.6766–6775(2017)

3. Valstar M.F. et al.:FERA 2015‐second facial expression recognition and analysis challenge. In:11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) Vol.6 pp.1–8(2015)

4. Facial Expression Analysis using Active Shape Model

5. Survey—A comparative analysis of face recognition technique;Bhati D.;Int. J. Eng. Res. General Sci.,2015

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