Enhancing image-based facial expression recognition through muscle activation-based facial feature extraction
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Published:2024-03
Issue:
Volume:240
Page:103927
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ISSN:1077-3142
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Container-title:Computer Vision and Image Understanding
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language:en
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Short-container-title:Computer Vision and Image Understanding
Author:
Solis-Arrazola Manuel A., Sanchez-Yañez Raul E., Garcia-Capulin Carlos H., Rostro-Gonzalez HoracioORCID
Reference66 articles.
1. HapFACS 3.0: FACS-based facial expression generator for 3D speaking virtual characters;Amini;IEEE Trans. Affect. Comput.,2015 2. Ang, L., Belen, E., Bernardo, R., Boongaling, E., Briones, G., Coronel, J., 2004. Facial expression recognition through pattern analysis of facial muscle movements utilizing electromyogram sensors. In: 2004 IEEE Region 10 Conference TENCON 2004. Vol. C, pp. 600–603, Vol. 3. 3. Facial expressions recognition based on Delaunay triangulation of landmark and machine learning;Ayeche;Traitement Signal,2021 4. Bao, M., Cong, M., Grabli, S., Fedkiw, R., 2019. High-Quality Face Capture Using Anatomical Muscles. In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR, Long Beach, CA, USA. pp. 10794–10803. http://dx.doi.org/10.1109/CVPR.2019.01106. 5. Emotional expressions reconsidered: Challenges to inferring emotion from human facial movements;Barrett;Psychol. Sci. Public Interest,2019
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