The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Face recognition with support vector machines: global versus component-based approach
Abstract
We present a component-based method and two global methods for face recognition and evaluate them with respect to robustness against pose changes. In the component system we first locate facial components, extract them and combine them into a single feature vector which is classified by a Support Vector Machine (SVM). The two global systems recognize faces by classifying a single feature vector consisting of the gray values of the whole face image. In the first global system we trained a single SVM classifier for each person in the database. The second system consists of sets of viewpoint-specific SVM classifiers and involves clustering during training. We performed extensive tests on a database which included faces rotated up to about 40/spl deg/ in depth. The component system clearly outperformed both global systems on all tests.
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Cites
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Self-citationLow-dimensional procedure for the characterization of human faces
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Face Recognition by Elastic Bunch Graph Matching*†
Wiskott, L., Fellous, J.-M., Krüger, N., & von der Malsburg, C. (2022) · INTELLIGENT BIOMETRIC TECHNIQUES in FINGERPRINT and FACE RECOGNITION · doi:10.1201/9780203750520-11 · Cited by 1,781
Cited by
Fadlullah, Z. M., Tang, F., Mao, B., Kato, N., Akashi, O., Inoue, T., & Mizutani, K. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2707140 · Cited by 810
Recent advances in visual and infrared face recognition—a review
Kong, S. G., Heo, J., Abidi, B. R., Paik, J., & Abidi, M. A. (2005) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2004.04.001 · Cited by 586
Fleury, A., Vacher, M., & Noury, N. (2010) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2009.2037317 · Cited by 489
A review on Gabor wavelets for face recognition
Shen, L., & Bai, L. (2006) · Pattern Analysis and Applications · doi:10.1007/s10044-006-0033-y · Cited by 462
Fusing local patterns of Gabor magnitude and phase for face recognition
Xie, S., Shan, S., Chen, X., & Chen, J. (2010) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2041397 · Cited by 395
Metadata
- Authors
- Heisele, B., Ho, P., & Poggio, T.
- Venue
- Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-13
- Volume
- 2
- Pages
- 688-694
- OpenAlex
- W2104908641
- Cited by
- 419
- References
- 21
- FWCI
- 17.90
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Heisele, B., Ho, P., & Poggio, T. (2002). Face recognition with support vector machines: global versus component-based approach. Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001. https://doi.org/10.1109/iccv.2001.937693
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