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3D human face recognition using point signature
Abstract
We present a novel face recognition algorithm based on the point signature-a representation for free-form surfaces. We treat the face recognition problem as a non-rigid object recognition problem. The rigid parts of the face of one person are extracted after registering the range data sets of faces having different facial expressions. These rigid parts are used to create a model library for efficient indexing. For a test face, models are indexed from the library and the most appropriate models are ranked according to their similarity with the test face. Verification of each model face can be quickly and efficiently identified. Experimental results with range data involving six human subjects, each with four different facial expressions, have demonstrated the validity and effectiveness of our algorithm.
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Cited by
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
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
Chen, H., & Bhanu, B. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1005 · Cited by 240
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
3D Assisted Face Recognition: A Survey of 3D Imaging, Modelling and Recognition Approachest
Kittler, J., Hilton, A., Hamouz, M., & Illingworth, J. (2006) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops · doi:10.1109/cvpr.2005.377 · Cited by 45
Metadata
- Authors
- Chua, C.-S., Han, F., & Ho, Y.-K.
- Venue
- Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580)
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-07
- Pages
- 233-238
- ISSN
- 1541-5058 (ISSN-L)
- OpenAlex
- W2152492602
- Cited by
- 289
- References
- 0
- FWCI
- 13.27
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Chua, C.-S., Han, F., & Ho, Y.-K. (2002). 3D human face recognition using point signature. Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580). https://doi.org/10.1109/afgr.2000.840640
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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.
