Face verification using gabor wavelets and AdaBoost

Proceedings - International Conference on Pattern Recognition

Volumn 1, Issue , 2006, Pages 404-407

  Mian, Zhou ^a   Hong, Wei ^a  

^a UNIVERSITY OF READING   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADA (PROGRAMMING LANGUAGE); DATABASE SYSTEMS; FEATURE EXTRACTION; IMAGE ANALYSIS; SUPPORT VECTOR MACHINES; WAVELET TRANSFORMS;

CLASSIFICATION ERRORS; FACE VERIFICATION; FALSE POSITIVE RATES; GABOR WAVELETS;

FACE RECOGNITION;

EID: 34047231942     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.536     Document Type: Conference Paper

References (15)

1. J. Daugman. High confidence visual recognition of persons by a test of statistical independence. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15:1148-1161, 1993.
2. Y. Freund and R. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Computational Learning Theory: Eurocolt'95, 1:23-37, 1995.
3. M. Jones and P. Viola. Face recognition using boosted local features. Technical report, MERL, 2003.
4. M. Lades, J. Vorbruggen, J. Budmann, J. Lange, C. Malsburg, and R. Wurtz. Distortion invariant object recognition on the dynamic link architecture. IEEE Transactions on Computers, 42:300-311, 1993.
5. C. Liu. Gabor-based kernel PCA with fractional power polynomial models for face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26:572-581, 2004.
6. C. Liu and H. Wechsler. Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition. IEEE Transactions on Image Processing, 11:467-476, 2002.
7. K. Messer, J. Matas, J. Kittler, J. Luettin, and G. Maitre. XM2VTSDB: The extended M2VTS databas. In Proceedings of Second International Conference on Audio and Video-based Biometric Person Authentication, volume 1, 1999.
8. B. Olshasen and D. Field. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 381:607-609, 1996.
9. E. Osuna, R. Freund, and F. Girosi. Training support vector machine: an application to face detection. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 1997.
10. R. Rao and D. Ballard. An active vision architecture based on iconic representations. Artificial Intelligence, 78:461-505, 1995.
11. B. Schiele and J. Crowley. Recognition without correspondence using multidimensional receptive field histograms. International Journal on Computer Vision, 36:31-52, 2000.
12. L. Shen, L. Bai, D. Bardsley, and Y. Wang. Gabor feature selection for face recognition using improved adaboost learning. In Proceedings of International Workshop on Biometric Recognition System, 2005. in conjuction with ICCV'05.
13. P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In Proceedings IEEE Conf. on Computer Vision and Pattern Recognition, pages 511-518, 2001.
14. L. Wiskott, J. Fellous, N. Krüger, and C. Malsburg. Face recognition by elastic bunch graph matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, (19):775-779, 1997.
15. B. Wu, H. AI, and R. Liu. Glasses detection by boosting simple wavelet features. In Proceedings of International Conference on Pattern Recognition, Cambridge, 2004.