Static and dynamic 3D facial expression recognition: A comprehensive survey
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Bilinear elastically deformable models with application to 3D face and facial expression recognition
Mpiperis, I., Malassiotis, S., & Strintzis, M. G. (2008) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.2008.4813333 · Cited by 21 · see citing works
Non-rigid registration of 3D surfaces by deformable 2D triangular meshes
Savran, A., & Sankur, B. (2008) · 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · doi:10.1109/cvprw.2008.4563083 · Cited by 19 · see citing works
AU recognition on 3D faces based on an extended statistical facial feature model
Zhao, X., Dellandréa, E., Chen, L., & Samaras, D. (2010) · IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS) · doi:10.1109/btas.2010.5634484 · Cited by 18 · see citing works
Quantifying Facial Expression Abnormality in Schizophrenia by Combining 2D and 3D Features
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BP4D-Spontaneous: a high-resolution spontaneous 3D dynamic facial expression database
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Self-citationCorneanu, C. A., Simon, M. O., Cohn, J. F., & Guerrero, S. E. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2515606 · Cited by 527 · see citing works
The Human Face as a Dynamic Tool for Social Communication
Jack, R. E., & Schyns, P. G. (2015) · Current Biology · doi:10.1016/j.cub.2015.05.052 · Cited by 405 · see citing works
Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network
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Facial Expression Recognition: A Survey
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Facial Sentiment Analysis Using AI Techniques: State-of-the-Art, Taxonomies, and Challenges
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Hayat, M., Bennamoun, M., & El-Sallam, A. A. (2013) · 2013 IEEE Workshop on Applications of Computer Vision (WACV) · doi:10.1109/wacv.2013.6475003 · Cited by 14 · see citing works
- 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
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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