Facial Expression Recognition
Facial Expression Recognition is a computational method in computer vision and affective computing that identifies and classifies human emotional states from facial imagery by analyzing spatial and temporal patterns of facial muscle movements.
5.4K
Publications
340K
Citations
13K
Authors
3.1K
Institutions
Publications per year
2017–2026
2.9K
Variants
Fer
5.4K
Comprehensive database for facial expression analysis
Takeo Kanade, Jeffrey F. Cohn, Yingli Tian · 2002 · 2.6K citations
1–5 of 5.4K
13K
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35
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33
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University of Illinois Urbana-Champaign, United States
31 publications · 3.9K citations
28
h-index
University of California San Diego, United States
32 publications · 6.2K citations
26
h-index
1–5 of 13K
3.1K
Carnegie Mellon University
Pittsburgh, United States
44 h-index
143 publications
58K citations

University of Oulu
Oulu, Finland
42 h-index
166 publications
28.9K citations

Imperial College London
London, United Kingdom
41 h-index
129 publications
14.2K citations

Chinese Academy of Sciences
Beijing, China
41 h-index
193 publications
20.1K citations

Centre National de la Recherche Scientifique
Paris, France
41 h-index
244 publications
10.4K citations
University of Chinese Academy of Sciences
Beijing, China
39 h-index
152 publications
14.2K citations
University of Pittsburgh
Pittsburgh, United States
35 h-index
87 publications
28.7K citations
University of California San Diego
San Diego, United States
33 h-index
142 publications
25.2K citations
1–8 of 3.1K
TAC · 107 publications · 14.7K citations
52
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117 publications · 7.4K citations
48
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68 publications · 8.2K citations
45
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74 publications · 4.9K citations
42
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44 publications · 7.7K citations
37
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