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Hierarchical facial expression recognition
Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2022Xiang Zhang 0011 +5 more
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Simultaneous Facial Feature Tracking and Facial Expression Recognition
IEEE Transactions on Image Processing, 2013The tracking and recognition of facial activities from images or videos have attracted great attention in computer vision field. Facial activities are characterized by three levels. First, in the bottom level, facial feature points around each facial component, i.e., eyebrow, mouth, etc., capture the detailed face shape information.
Yongqiang Li +3 more
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Expressive Maps for 3D Facial Expression Recognition
2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011We present a semi-automatic 3D Facial Expression Recognition system based on geometric facial information. In this approach, the 3D facial meshes are first fitted to an Annotated Face Model (AFM). Then, the Expressive Maps are computed, which indicate the parts of the face that are most expressive according to a particular geometric feature (e.g ...
Omar Ocegueda +3 more
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Dynamic Facial Expression Recognition Using Longitudinal Facial Expression Atlases
2012In this paper, we propose a new scheme to formulate the dynamic facial expression recognition problem as a longitudinal atlases construction and deformable groupwise image registration problem. The main contributions of this method include: 1) We model human facial feature changes during the facial expression process by a diffeomorphic image ...
Zhao Guoying +2 more
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Facial expression recognition based on deep learning
Computer Methods and Programs in Biomedicine, 2022Xuedong Wu, Huilin Ge, Yuewei Dai
exaly
Open-Set Recognition for Facial-Expression Recognition
2023 IEEE International Conference on Image Processing (ICIP), 2023Mihiro Uchida +4 more
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Facial expression recognition via learning deep sparse autoencoders
Neurocomputing, 2018Yurong Li, Nianyin Zeng, Weibo Liu
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Facial expression recognition based on Local Binary Patterns: A comprehensive study
Image and Vision Computing, 2009Shaogang Gong +2 more
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