The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Multiple Nose Region Matching for 3D Face Recognition under Varying Facial Expression
Abstract
An algorithm is proposed for 3D face recognition in the presence of varied facial expressions. It is based on combining the match scores from matching multiple overlapping regions around the nose. Experimental results are presented using the largest database employed to date in 3D face recognition studies, over 4,000 scans of 449 subjects. Results show substantial improvement over matching the shape of a single larger frontal face region. This is the first approach to use multiple overlapping regions around the nose to handle the problem of expression variation.
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Overview of the Face Recognition Grand Challenge
Phillips, P. J., Flynn, P. J., Scruggs, T., Bowyer, K. W., Chang, J., Hoffman, K., Marques, J., Min, J., & Worek, W. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.268 · Cited by 2,438
Self-citationA survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition
Bowyer, K. W., Chang, K., & Flynn, P. (2006) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2005.05.005 · Cited by 979
Self-citationMartinez, A. M. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1008382 · Cited by 813
Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0508601103 · Cited by 538
Recognizing human facial expressions from long image sequences using optical flow
Yacoob, Y., & Davis, L. S. (1996) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.506414 · Cited by 458
An evaluation of multimodal 2D+3D face biometrics
Chang, K. I., Bowyer, K. W., & Flynn, P. J. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.70 · Cited by 442
Self-citationThree-Dimensional Face Recognition
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2005) · International Journal of Computer Vision · doi:10.1007/s11263-005-1085-y · Cited by 424
Matching 2.5D face scans to 3D models
Lu, X., Jain, A. K., & Colbry, D. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.15 · Cited by 339
Face recognition vendor test 2002
Phillips, P. J., Grother, P., Micheals, R., Blackburn, D. M., Tabassi, E., & Bone, M. (2004) · 2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443) · doi:10.1109/amfg.2003.1240822 · Cited by 332
3D human face recognition using point signature
Chua, C.-S., Han, F., & Ho, Y.-K. (2002) · Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580) · doi:10.1109/afgr.2000.840640 · Cited by 289
Cited by
3D Face Recognition Using Simulated Annealing and the Surface Interpenetration Measure
Queirolo, C. C., Silva, L., Bellon, O. R. P., & Segundo, M. P. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.14 · Cited by 201
3-D Face Detection, Landmark Localization, and Registration Using a Point Distribution Model
Nair, P., & Cavallaro, A. (2009) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2009.2017629 · Cited by 135
A coarse-to-fine curvature analysis-based rotation invariant 3D face landmarking
Szeptycki, P., Ardabilian, M., & Chen, L. (2009) · 2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems · doi:10.1109/btas.2009.5339052 · Cited by 101
Objective 3D face recognition: Evolution, approaches and challenges
Smeets, D., Claes, P., Vandermeulen, D., & Clement, J. G. (2010) · Forensic Science International · doi:10.1016/j.forsciint.2010.03.023 · Cited by 90
Metadata
- Authors
- Chang, K. I., Bowyer, K. W., & Flynn, P. J.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2006-10
- Volume
- 28
- Issue
- 10
- Pages
- 1695-1700
- ISSN
- 0162-8828 (ISSN-L)
- 2160-9292
- OpenAlex
- W2153759571
- Cited by
- 359
- References
- 23
- FWCI
- 35.29
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chang, K. I., Bowyer, K. W., & Flynn, P. J. (2006). Multiple Nose Region Matching for 3D Face Recognition under Varying Facial Expression. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2006.210
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