Cited by 357Face recognition and analysisEmotion and Mood RecognitionFace and Expression Recognition

Static and dynamic 3D facial expression recognition: A comprehensive survey

Sandbach, Georgia, Zafeiriou, Stefanos, Pantic, Maja, Yin, Lijun·2012·Image and Vision Computing

Integrity signals

Registry

Crossref · 10.1016/j.imavis.2012.06.005

Cites

130 of 130 references verified0 citation errors · 0 not checkable

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Authors
Sandbach, G., Zafeiriou, S., Pantic, M., & Yin, L.
Affiliations
  • Imperial College London (GB)
  • Binghamton University (US)
Corresponding author
Sandbach, Georgia
Venue
Image and Vision Computing
Publisher
Elsevier BV
Published
2012-10
Volume
30
Issue
10
Pages
683-697
ISSN
0262-8856 (ISSN-L)
OpenAlex
W2143829622
Cited by
357
References
130
Citations by year
2026: 5 · 2025: 12 · 2024: 9 · 2023: 19 · 2022: 16 · 2021: 19 · 2020: 23 · 2019: 27 · 2018: 29 · 2017: 33 · 2016: 54 · 2015: 53 · 2014: 35 · 2013: 20 · 2012: 3
FWCI
34.47
Type
journal article
Language
en
Open access
closed
Locations
  • Image and Vision Computing (publishedVersion)
  • Research Explorer (The University of Manchester) (publishedVersion)
  • University of Twente Research Information (submittedVersion)
Funders
Engineering and Physical Sciences Research Council (EP/H016988/1)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
Keywords
facial expression recognition, 3D face tracking, 3D face database, pose variation, illumination variation, dynamic facial expressions

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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.

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