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A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition
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Citations
Cited by
Face Recognition Performance: Role of Demographic Information
Klare, B. F., Burge, M. J., Klontz, J. C., Vorder Bruegge, R. W., & Jain, A. K. (2012) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2012.2214212 · Cited by 516
A high-resolution 3D dynamic facial expression database
Yin, L., Chen, X., Sun, Y., Worm, T., & Reale, M. (2008) · 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition · doi:10.1109/afgr.2008.4813324 · Cited by 488
An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition
Mian, A., Bennamoun, M., & Owens, R. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1105 · Cited by 470
Kakadiaris, I. A., Passalis, G., Toderici, G., Murtuza, M. N., Lu, Y., Karampatziakis, N., & Theoharis, T. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1017 · Cited by 445
Multiple Nose Region Matching for 3D Face Recognition under Varying Facial Expression
Chang, K. I., Bowyer, K. W., & Flynn, P. J. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.210 · Cited by 359
Self-citation
Metadata
- Authors
- Bowyer, K. W., Chang, K., & Flynn, P.
- Venue
- Computer Vision and Image Understanding
- Publisher
- Elsevier BV
- Published
- 2006-01
- Volume
- 101
- Issue
- 1
- Pages
- 1-15
- ISSN
- 1077-3142 (ISSN-L)
- OpenAlex
- W2161308290
- Cited by
- 979
- References
- 0
- FWCI
- 74.99
- Type
- journal article
- Language
- en
- Open access
- closed
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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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- CoChat. (2026). Citation check: A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition. https://app.cochat.ai/papers/10.1016/j.cviu.2005.05.005
- The paper
- Bowyer, K. W., Chang, K., & Flynn, P. (2006). A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition. Computer Vision and Image Understanding. https://doi.org/10.1016/j.cviu.2005.05.005
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.