Cited by 2,300Face and Expression RecognitionFace recognition and analysisEmotion and Mood Recognition

Facial expression recognition based on Local Binary Patterns: A comprehensive study

Shan, Caifeng, Gong, Shaogang, McOwan, Peter W.·2009·Image and Vision Computing

Integrity signals

Registry

Crossref · 10.1016/j.imavis.2008.08.005

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64 of 64 references verified0 citation errors · 0 not checkable

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Authors
Shan, C., Gong, S., & McOwan, P. W.
Affiliations
  • Philips (Netherlands) (NL)
  • Queen Mary University of London (GB)
Corresponding author
Shan, Caifeng
Venue
Image and Vision Computing
Publisher
Elsevier BV
Published
2009-05
Volume
27
Issue
6
Pages
803-816
ISSN
0262-8856 (ISSN-L)
OpenAlex
W2145310492
Cited by
2,300
References
64
Citations by year
2026: 58 · 2025: 87 · 2024: 112 · 2023: 145 · 2022: 143 · 2021: 190 · 2020: 160 · 2019: 187 · 2018: 165 · 2017: 182 · 2016: 170 · 2015: 188 · 2014: 172 · 2013: 125 · 2012: 102
FWCI
54.18
Type
journal article
Language
en
Open access
closed
Locations
Image and Vision Computing (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
Keywords
facial expression recognition, local binary pattern, user-independent recognition, support vector machine, low-resolution face images, low-resolution video, face representation

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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