Bosphorus Database for 3D Face Analysis
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The most well known 3D datasets are BU-3DFE, Bosphorus, BU-4DFE and BP4D.
“The most well known 3D datasets are BU-3DFE [206], Bosphorus [195] (still images), BU-4DFE [207] (video) and BP4D [38] (video).”
From Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications (2016) · cites this paper as [195]
Bosphorus has low ethnic diversity but contains a much larger number of expressions, different head poses and deliberate occlusions.
“Bosphorus has low ethnic diversity but it contains a much larger number of expressions, different head poses and deliberate occlusions.”
From Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications (2016) · cites this paper as [195]
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BP4D-Spontaneous: a high-resolution spontaneous 3D dynamic facial expression database
Zhang, X., Yin, L., Cohn, J. F., Canavan, S., Reale, M., Horowitz, A., Liu, P., & Girard, J. M. (2014) · Image and Vision Computing · doi:10.1016/j.imavis.2014.06.002 · Cited by 745 · see citing works
Corneanu, 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
Static and dynamic 3D facial expression recognition: A comprehensive survey
Sandbach, G., Zafeiriou, S., Pantic, M., & Yin, L. (2012) · Image and Vision Computing · doi:10.1016/j.imavis.2012.06.005 · Cited by 357 · see citing works
Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network
Li, H., Sun, J., Xu, Z., & Chen, L. (2017) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2017.2713408 · Cited by 211 · see citing works
3D facial expression recognition using SIFT descriptors of automatically detected keypoints
Berretti, S., Ben Amor, B., Daoudi, M., & del Bimbo, A. (2011) · The Visual Computer · doi:10.1007/s00371-011-0611-x · Cited by 138 · see citing works
Local normal binary patterns for 3D facial action unit detection
Sandbach, G., Zafeiriou, S., & Pantic, M. (2012) · 2012 19th IEEE International Conference on Image Processing · doi:10.1109/icip.2012.6467234 · Cited by 56 · see citing works
Zhao, X., Dellandréa, E., Zou, J., & Chen, L. (2013) · Image and Vision Computing · doi:10.1016/j.imavis.2012.10.001 · Cited by 27 · see citing works
- Authors
- Savran, A., Alyüz, N., Dibeklioğlu, H., Çeliktutan, O., Gökberk, B., Sankur, B., & Akarun, L.
- Affiliations
- Boğaziçi University (TR)
- Philips (Netherlands) (NL)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2008
- Pages
- 47-56
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1566413196
- Cited by
- 812
- References
- 0
- Citations by year
- 2026: 18 · 2025: 25 · 2024: 28 · 2023: 39 · 2022: 38 · 2021: 66 · 2020: 77 · 2019: 73 · 2018: 59 · 2017: 54 · 2016: 43 · 2015: 64 · 2014: 56 · 2013: 44 · 2012: 45
- FWCI
- 22.16
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Keywords
- 3D face database, facial expressions, facial action units, basic emotions, head pose variation, face occlusion, facial expression analysis, facial expression synthesis, Bosphorus
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