메뉴 건너뛰기




Volumn 23, Issue 3, 2012, Pages 526-534

Regularized kernel discriminant analysis with a robust kernel for face recognition and verification

Author keywords

Eigenspectrum regularization; face recognition; kernel discriminant analysis; robust kernel

Indexed keywords

EIGENSPECTRUM; FACE RECOGNITION/VERIFICATION; ILLUMINATION CHANGES; KERNEL DISCRIMINANT ANALYSIS; KERNEL-BASED FEATURE EXTRACTION; ROBUST KERNEL; STATE-OF-THE-ART PERFORMANCE; WITHIN-CLASS SCATTER MATRIX;

EID: 84868032803     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2011.2182058     Document Type: Article
Times cited : (66)

References (46)
  • 2
    • 0026065565 scopus 로고
    • Eigenfaces for recognition
    • M. Turk and A. P. Pentland, "Eigenfaces for recognition," J. Cognit. Neurosci., vol. 3, no. 1, pp. 71-86, 1991.
    • (1991) J. Cognit. Neurosci , vol.3 , Issue.1 , pp. 71-86
    • Turk, M.1    Pentland, A.P.2
  • 3
    • 0031185845 scopus 로고    scopus 로고
    • Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection
    • Jul
    • P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman, "Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 711-720, Jul. 1997.
    • (1997) IEEE Trans. Pattern Anal. Mach. Intell , vol.19 , Issue.7 , pp. 711-720
    • Belhumeur, P.N.1    Hespanha, J.P.2    Kriegman, D.J.3
  • 4
    • 0037276932 scopus 로고    scopus 로고
    • Face recognition using kernel direct discriminant analysis algorithms
    • Jan
    • L. Juwei, K. N. Plataniotis, and A. N. Venetsanopoulos, "Face recognition using kernel direct discriminant analysis algorithms," IEEE Trans. Neural Netw., vol. 14, no. 1, pp. 117-126, Jan. 2003.
    • (2003) IEEE Trans. Neural Netw , vol.14 , Issue.1 , pp. 117-126
    • Juwei, L.1    Plataniotis, K.N.2    Venetsanopoulos, A.N.3
  • 5
    • 84905388890 scopus 로고    scopus 로고
    • Kernel eigenfaces vs. kernel Fisherfaces: Face recognition using kernel methods
    • M. H. Yang, "Kernel eigenfaces vs. kernel Fisherfaces: Face recognition using kernel methods," in Proc. 5th IEEE Int. Conf. Automat. Face Gesture Recogn., 2002, pp. 215-220.
    • (2002) Proc. 5th IEEE Int. Conf. Automat. Face Gesture Recogn , pp. 215-220
    • Yang, M.H.1
  • 6
    • 3042674061 scopus 로고    scopus 로고
    • Gabor-based kernel PCA with fractional power polynomial models for face recognition
    • May
    • L. Chengjun, "Gabor-based kernel PCA with fractional power polynomial models for face recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 5, pp. 572-581, May 2004.
    • (2004) IEEE Trans. Pattern Anal. Mach. Intell , vol.26 , Issue.5 , pp. 572-581
    • Chengjun, L.1
  • 8
    • 14544297033 scopus 로고    scopus 로고
    • KPCA plus LDA: A complete kernel Fisher discriminant framework for feature extraction and recognition
    • Feb
    • J. Yang, A. F. Frangi, J. Yang, D. Zhang, and Z. Jin, "KPCA plus LDA: A complete kernel Fisher discriminant framework for feature extraction and recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 2, pp. 230-244, Feb. 2005.
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell , vol.27 , Issue.2 , pp. 230-244
    • Yang, J.1    Frangi, A.F.2    Yang, J.3    Zhang, D.4    Jin, Z.5
  • 9
    • 79960846919 scopus 로고    scopus 로고
    • Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification
    • May
    • S. Zafeiriou, A. Tefas, I. Buciu, and I. Pitas, "Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification," IEEE Trans. Neural Netw., vol. 14, no. 8, pp. 1063-1073, May 2006.
    • (2006) IEEE Trans. Neural Netw , vol.14 , Issue.8 , pp. 1063-1073
    • Zafeiriou, S.1    Tefas, A.2    Buciu, I.3    Pitas, I.4
  • 10
    • 33144458972 scopus 로고    scopus 로고
    • Efficient and robust feature extraction by maximum margin criterion
    • Jan
    • H. Li, T. Jiang, and K. Zhang, "Efficient and robust feature extraction by maximum margin criterion," IEEE Trans. Neural Netw., vol. 17, no. 1, pp. 157-165, Jan. 2006.
    • (2006) IEEE Trans. Neural Netw , vol.17 , Issue.1 , pp. 157-165
    • Li, H.1    Jiang, T.2    Zhang, K.3
  • 11
    • 34547096127 scopus 로고    scopus 로고
    • Discriminative common vector method with kernels
    • Nov
    • H. Cevikalp, M. Neamtu, and M. Wilkes, "Discriminative common vector method with kernels," IEEE Trans. Neural Netw., vol. 17, no. 6, pp. 1550-1565, Nov. 2006.
    • (2006) IEEE Trans. Neural Netw , vol.17 , Issue.6 , pp. 1550-1565
    • Cevikalp, H.1    Neamtu, M.2    Wilkes, M.3
  • 13
    • 49149100896 scopus 로고    scopus 로고
    • Nonnegative matrix factorization in polynomial feature space
    • Jun
    • I. Buciu, N. Nikolaidis, and I. Pitas, "Nonnegative matrix factorization in polynomial feature space," IEEE Trans. Neural Netw., vol. 19, no. 6, pp. 1090-1100, Jun. 2008.
    • (2008) IEEE Trans. Neural Netw , vol.19 , Issue.6 , pp. 1090-1100
    • Buciu, I.1    Nikolaidis, N.2    Pitas, I.3
  • 14
    • 39549121991 scopus 로고    scopus 로고
    • Eigenfeature regularization and extraction in face recognition
    • Mar
    • X. Jiang, B. Mandal, and A. Kot, "Eigenfeature regularization and extraction in face recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 30, no. 3, pp. 383-394, Mar. 2008.
    • (2008) IEEE Trans. Pattern Anal. Mach. Intell , vol.30 , Issue.3 , pp. 383-394
    • Jiang, X.1    Mandal, B.2    Kot, A.3
  • 15
    • 77949767628 scopus 로고    scopus 로고
    • Nonlinear nonnegative component analysis
    • Apr.
    • S. Zafeiriou and M. Petrou, "Nonlinear nonnegative component analysis," IEEE Trans. Image Process., vol. 19, no. 4, pp. 1050-1066, Apr. 2010.
    • (2010) IEEE Trans. Image Process , vol.19 , Issue.4 , pp. 1050-1066
    • Zafeiriou, S.1    Petrou, M.2
  • 16
    • 13844299267 scopus 로고    scopus 로고
    • Foley-sammon optimal discriminant vectors using kernel approach
    • Jan
    • W. Zheng, L. Zhao, and C. Zou, "Foley-sammon optimal discriminant vectors using kernel approach," IEEE Neural Netw. Trans., vol. 16, no. 1, pp. 1-9, Jan. 2005.
    • (2005) IEEE Neural Netw. Trans , vol.16 , Issue.1 , pp. 1-9
    • Zheng, W.1    Zhao, L.2    Zou, C.3
  • 17
    • 6444239471 scopus 로고    scopus 로고
    • Uncorrelated discriminant vectors using a kernel method
    • Z. Liang and P. Shi, "Uncorrelated discriminant vectors using a kernel method," Pattern Recogn., vol. 38, no. 2, pp. 307-310, 2005.
    • (2005) Pattern Recogn , vol.38 , Issue.2 , pp. 307-310
    • Liang, Z.1    Shi, P.2
  • 19
    • 53649096121 scopus 로고    scopus 로고
    • Complete discriminant evaluation and feature extraction in kernel space for face recognition
    • X. Jiang, B. Mandal, and A. Kot, "Complete discriminant evaluation and feature extraction in kernel space for face recognition," Mach. Vision Applicat., vol. 20, no. 1, pp. 35-46, 2009.
    • (2009) Mach. Vision Applicat , vol.20 , Issue.1 , pp. 35-46
    • Jiang, X.1    Mandal, B.2    Kot, A.3
  • 20
    • 0031188771 scopus 로고    scopus 로고
    • Probabilistic visual learning for object representation
    • Jul
    • B. Moghaddam and A. P. Pentland, "Probabilistic visual learning for object representation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 696-710, Jul. 1997.
    • (1997) IEEE Trans. Pattern Anal. Mach. Intell , vol.19 , Issue.7 , pp. 696-710
    • Moghaddam, B.1    Pentland, A.P.2
  • 25
    • 0034296402 scopus 로고    scopus 로고
    • Generalized discriminant analysis using a kernel approach
    • G. Baudat and F. Anouar, "Generalized discriminant analysis using a kernel approach," Neural Comput., vol. 12, no. 10, pp. 2385-2404, 2000.
    • (2000) Neural Comput , vol.12 , Issue.10 , pp. 2385-2404
    • Baudat, G.1    Anouar, F.2
  • 26
    • 36348944726 scopus 로고    scopus 로고
    • Comments on efficient and robust feature extraction by maximum margin criterion
    • Nov
    • J. Liu, S. Chen, X. Tan, and D. Zhang, "Comments on efficient and robust feature extraction by maximum margin criterion," IEEE Trans. Neural Netw., vol. 6, no. 18, pp. 1862-1864, Nov. 2007.
    • (2007) IEEE Trans. Neural Netw , vol.6 , Issue.18 , pp. 1862-1864
    • Liu, J.1    Chen, S.2    Tan, X.3    Zhang, D.4
  • 27
    • 67249143949 scopus 로고    scopus 로고
    • Two-fold regularization for kernel Fisher discriminant analysis in face recognition
    • S. K. Kim, K. A. Toh, and S. Lee, "Two-fold regularization for kernel Fisher discriminant analysis in face recognition," IEICE Electron. Exp., vol. 6, no. 9, pp. 540-545, 2009.
    • (2009) IEICE Electron. Exp , vol.6 , Issue.9 , pp. 540-545
    • Kim, S.K.1    Toh, K.A.2    Lee, S.3
  • 28
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • A. Scholkopf, B. Smola, and K. R. Muller, "Nonlinear component analysis as a kernel eigenvalue problem," Neural Comput., vol. 10, no. 5, pp. 1299-1319, 1998.
    • (1998) Neural Comput , vol.10 , Issue.5 , pp. 1299-1319
    • Scholkopf, A.1    Smola, B.2    Muller, K.R.3
  • 30
    • 0031257949 scopus 로고    scopus 로고
    • Estimation of pose and illuminant direction for face processing
    • R. Brunelli, "Estimation of pose and illuminant direction for face processing," Image Vision Comput., vol. 15, no. 10, pp. 741-748, 1997.
    • (1997) Image Vision Comput , vol.15 , Issue.10 , pp. 741-748
    • Brunelli, R.1
  • 31
  • 33
    • 0004626709 scopus 로고    scopus 로고
    • Appearance-based global similarity retrieval of images
    • S. Ravela and C. Luo, "Appearance-based global similarity retrieval of images," Adv. Informat. Retri., vol. 7, pp. 267-299, 2000.
    • (2000) Adv. Informat. Retri , vol.7 , pp. 267-299
    • Ravela, S.1    Luo, C.2
  • 34
    • 33947214329 scopus 로고    scopus 로고
    • Surface dependent representations for illumination insensitive image comparison
    • Jan
    • M. Osadchy, D. W. Jacobs, and M. Lindenbaum, "Surface dependent representations for illumination insensitive image comparison," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 1, pp. 98-111, Jan. 2007.
    • (2007) IEEE Trans. Pattern Anal. Mach. Intell , vol.29 , Issue.1 , pp. 98-111
    • Osadchy, M.1    Jacobs, D.W.2    Lindenbaum, M.3
  • 35
    • 70350613009 scopus 로고    scopus 로고
    • Face recognition under varying illumination using gradientfaces
    • Nov
    • T. Zhang, Y. Y. Tang, B. Fang, Z. Shang, and X. Liu, "Face recognition under varying illumination using gradientfaces," IEEE Trans. Image Process., vol. 18, no. 11, pp. 2599-2606, Nov. 2009.
    • (2009) IEEE Trans. Image Process , vol.18 , Issue.11 , pp. 2599-2606
    • Zhang, T.1    Tang, Y.Y.2    Fang, B.3    Shang, Z.4    Liu, X.5
  • 36
    • 18144420071 scopus 로고    scopus 로고
    • Acquiring linear subspaces for face recognition under variable lighting
    • May
    • K. C. Lee, J. Ho, and D. J. Kriegman, "Acquiring linear subspaces for face recognition under variable lighting," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 5, pp. 684-698, May 2005.
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell , vol.27 , Issue.5 , pp. 684-698
    • Lee, K.C.1    Ho, J.2    Kriegman, D.J.3
  • 44
    • 0000596361 scopus 로고
    • Note on the sampling error of the difference between correlated proportions or percentages
    • Q. McNemar, "Note on the sampling error of the difference between correlated proportions or percentages," Psychometrika, vol. 12, no. 2, pp. 153-157, 1947.
    • (1947) Psychometrika , vol.12 , Issue.2 , pp. 153-157
    • McNemar, Q.1
  • 46
    • 34648814107 scopus 로고    scopus 로고
    • Minimum class variance support vector machines
    • Oct
    • S. Zafeiriou, A. Tefas, and I. Pitas, "Minimum class variance support vector machines," IEEE Trans. Image Process., vol. 16, no. 10, pp. 2551-2564, Oct. 2007.
    • (2007) IEEE Trans. Image Process , vol.16 , Issue.10 , pp. 2551-2564
    • Zafeiriou, S.1    Tefas, A.2    Pitas, I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.