Abstract
This paper proposes a novel face recognition method based on discriminant analysis with Gabor tensor representation. Although the Gabor face representation has achieved great success in face recognition, its huge number of features often brings about the problem of curse of dimensionality. In this paper, we propose a 3rd-order Gabor tensor representation derived from a complete response set of Gabor filters across pixel locations and filter types. 2D discriminant analysis is then applied to unfolded tensors to extract three discriminative subspaces. The dimension reduction is done in such a way that most useful information is retained. The subspaces are finally integrated for classification. Experimental results on FERET database show promising results of the proposed method.
Chapter PDF
Similar content being viewed by others
References
Belhumeur, P., Hespanha, J., Kriegman, D.: Eigenfaces vs. fisherfaces: recognition using class specific linear projection. IEEE Trans. PAMI 19(7), 711–720 (1997)
Chen, L., Liao, H., Ko, M., Lin, J., Yu, G.: A new lda-based face recognition system which can solve the small sample size problem. Pattern Recognition (2000)
Ki-Chung, C., Cheol, K.S., Ryong, K.S.: Face recognition using principal component analysis of gabor filter responses. In: Proceedings of International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, pp. 53–57 (1999)
Kong, H., Li, X., Wang, L., Teoh, E.K., Wang, J.G., Venkateswarlu, R.: Generalized 2d principal component analysis. In: Proc. International Joint Conference on Neural Networks (2005)
Lades, M., Vorbruggen, J., Buhmann, J., Lange, J., von der Malsburg, C., Wurtz, R.P., Konen, W.: Distortion invariant object recognition in the dynamic link architecture. IEEE Transactions on Computers 42, 300–311 (1993)
Li, M., Yuan, B.: 2d-lda: A novel statistical linear discriminant analysis for image matrix. Pattern Recognition Letters 26(5), 527–532 (2005)
Li, S.Z., Jain, A.K. (eds.): Handbook of Face Recognition. Springer, New York (2005)
Liu, C.: Gabor-based kernel PCA with fractional power polynomial models for face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(5), 572–581 (2004)
Liu, C., Wechsler, H.: Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition. IEEE Transactions on Image Processing 11(4), 467–476 (2002)
Phillips, P.J., Moon, H., Rizvi, S.A., Rauss, P.J.: The FERET evaluation methodology for face-recognition algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(10), 1090–1104 (2000)
Schölkopf, B., Smola, A., Müller, K.R.: Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation 10, 1299–1319 (1999)
Shen, L., Bai, L.: Gabor wavelets and kernel direct disciminant analysis for face recognition. In: ICPR 2004. Int’l Conf on Pattern Recognition, pp. 284–287 (2004)
Swets, D., Weng, J.: Using discriminant eigenfeatures for image retrieval. IEEE Trans. on PAMI 16(8), 831–836 (1996)
Wiskott, L., Fellous, J., Kruger, N., malsburg, C.V.: Face recognition by elastic bunch graph matching. IEEE Trans. PAMI 19(7), 775–779 (1997)
Xu, D., Yan, S.C., Zhang, L., Zhang, H.J., Liu, Z.K., Shum, H.Y.: Concurrent subspaces analysis. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 203–208. IEEE Computer Society Press, Los Alamitos (2005)
Yan, S.C., Xu, D., Yang, Q., Zhang, L., Zhang, H.J.: Discriminant analysis with tensor representation. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 526–532. IEEE Computer Society Press, Los Alamitos (2005)
Yang, M.H.: Kernel eigenface vs. kernel fisherface: Face recognition using kernel methods. In: Proc. IEEE Int. Conf on Automatic Face and Gesture Recognition, IEEE Computer Society Press, Los Alamitos (2002)
Ye, J., Janardan, R., Li, Q.: Two-dimensional linear discriminant analysis. In: Proceedings of Neural Information Processing Systems (2004)
Yu, H., Yang, J.: A direct lda algorithm for high-dimensional data with application to face recognition. Pattern Recognition (2001)
Zhang, D., Chen, S., Zhou, Z.: Recognizing face or object from a single image: Linear vs. kernel methods on 2d patterns. In: S+SSPR 2006, in conjunction with ICPR 2006, HongKong, China (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lei, Z., Chu, R., He, R., Liao, S., Li, S.Z. (2007). Face Recognition by Discriminant Analysis with Gabor Tensor Representation. In: Lee, SW., Li, S.Z. (eds) Advances in Biometrics. ICB 2007. Lecture Notes in Computer Science, vol 4642. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74549-5_10
Download citation
DOI: https://doi.org/10.1007/978-3-540-74549-5_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74548-8
Online ISBN: 978-3-540-74549-5
eBook Packages: Computer ScienceComputer Science (R0)