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Erschienen in: Pattern Analysis and Applications 2-3/2006

01.10.2006 | Survey

A review on Gabor wavelets for face recognition

verfasst von: Linlin Shen, Li Bai

Erschienen in: Pattern Analysis and Applications | Ausgabe 2-3/2006

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Abstract

Due to the robustness of Gabor features against local distortions caused by variance of illumination, expression and pose, they have been successfully applied for face recognition. The Facial Recognition Technology (FERET) evaluation and the recent Face Verification Competition (FVC2004) have seen the top performance of Gabor feature based methods. This paper aims to give a detailed survey of state of the art 2D face recognition algorithms using Gabor wavelets for feature extraction. Existing problems are covered and possible solutions are suggested.

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Literatur
1.
Zurück zum Zitat Brunelli R, Poggio T (1993) Face recognition—features versus templates. IEEE Trans PAMI 15(10):1042–1052 Brunelli R, Poggio T (1993) Face recognition—features versus templates. IEEE Trans PAMI 15(10):1042–1052
2.
Zurück zum Zitat Heisele B, Ho P, Poggio T (2001) Face recognition with support vector machines: global versus component-based approach. In: International conference on computer vision (ICCV ’01), Vancouver, pp 688–694 Heisele B, Ho P, Poggio T (2001) Face recognition with support vector machines: global versus component-based approach. In: International conference on computer vision (ICCV ’01), Vancouver, pp 688–694
3.
Zurück zum Zitat Nefian A, Hayes M (1999) An embedded hmm-based approach for face detection and recognition. In: Proceedings of IEEE international conference on acoustics, speech and signal processing, pp 3553–3556 Nefian A, Hayes M (1999) An embedded hmm-based approach for face detection and recognition. In: Proceedings of IEEE international conference on acoustics, speech and signal processing, pp 3553–3556
4.
Zurück zum Zitat Turk M, Pentland A (1991) Eigenfaces for recognition. J Cogn Neurosci 3(1):71–86 Turk M, Pentland A (1991) Eigenfaces for recognition. J Cogn Neurosci 3(1):71–86
5.
Zurück zum Zitat Adini Y, Moses Y, Ullman S (1997) Face recognition: the problem of compensating for changes in illumination direction. IEEE Trans PAMI 19(7):721–732 Adini Y, Moses Y, Ullman S (1997) Face recognition: the problem of compensating for changes in illumination direction. IEEE Trans PAMI 19(7):721–732
6.
Zurück zum Zitat Fisher RA (1936) The use of multiple measures in taxonomic problems. Ann Eugen 7:179–188 Fisher RA (1936) The use of multiple measures in taxonomic problems. Ann Eugen 7:179–188
7.
Zurück zum Zitat Belhumeur PN, Hespanha JP, Kriegman DJ (1997) Eigenfaces vs. Fisherfaces: recognition using class specific linear projection. IEEE Trans PAMI 19(7):711–720 Belhumeur PN, Hespanha JP, Kriegman DJ (1997) Eigenfaces vs. Fisherfaces: recognition using class specific linear projection. IEEE Trans PAMI 19(7):711–720
8.
Zurück zum Zitat Zhao W et al (1998) Discriminant analysis of principal components for face recognition. In: Wechsler H, Phillips PJ, Bruce V, Soulie FF, Huang TS (eds) Face recognition: from theory to applications. Springer, Berlin Heidelberg New York, pp 73–85 Zhao W et al (1998) Discriminant analysis of principal components for face recognition. In: Wechsler H, Phillips PJ, Bruce V, Soulie FF, Huang TS (eds) Face recognition: from theory to applications. Springer, Berlin Heidelberg New York, pp 73–85
9.
Zurück zum Zitat Lu JW, Plataniotis KN, Venetsanopoulos AN (2003) Regularized discriminant analysis for the small sample size problem in face recognition. Pattern Recognit Lett 24(16):3079–3087CrossRef Lu JW, Plataniotis KN, Venetsanopoulos AN (2003) Regularized discriminant analysis for the small sample size problem in face recognition. Pattern Recognit Lett 24(16):3079–3087CrossRef
10.
Zurück zum Zitat Liu CJ, Wechsler H (1998) Enhanced fisher linear discriminant models for face recognition. In: Proceedings of international conference on pattern recognition, pp 1368–1372 Liu CJ, Wechsler H (1998) Enhanced fisher linear discriminant models for face recognition. In: Proceedings of international conference on pattern recognition, pp 1368–1372
11.
Zurück zum Zitat Yu H, Yang H (2001) A direct LDA algorithm for high-dimensional data—with application to face recognition. Pattern Recognit 34(10):2067–2070MATHCrossRef Yu H, Yang H (2001) A direct LDA algorithm for high-dimensional data—with application to face recognition. Pattern Recognit 34(10):2067–2070MATHCrossRef
12.
Zurück zum Zitat Fleming M, Conttrell G (1990) Categorization of faces using unsupervised feature extraction. In: IEEE international joint conference on neural networks, pp 65–70 Fleming M, Conttrell G (1990) Categorization of faces using unsupervised feature extraction. In: IEEE international joint conference on neural networks, pp 65–70
13.
Zurück zum Zitat Er MJ et al (2002) Face recognition with radial basis function (RBF) neural networks. IEEE Trans Neural Netw 13(3):697–710MathSciNetCrossRef Er MJ et al (2002) Face recognition with radial basis function (RBF) neural networks. IEEE Trans Neural Netw 13(3):697–710MathSciNetCrossRef
14.
Zurück zum Zitat Liu YH (2004) Face recognition and face detection based on wavelets and neural networks. PhD Thesis, School of Computer Science, University of Nottingham Liu YH (2004) Face recognition and face detection based on wavelets and neural networks. PhD Thesis, School of Computer Science, University of Nottingham
15.
Zurück zum Zitat Hallinan PL et al (1999) Two- and three-dimensional patterns of the face. A K Peters, WellesleyMATH Hallinan PL et al (1999) Two- and three-dimensional patterns of the face. A K Peters, WellesleyMATH
16.
Zurück zum Zitat Zhao W et al (2000) Face recognition: a literature survey, Technical Report, University of Maryland Zhao W et al (2000) Face recognition: a literature survey, Technical Report, University of Maryland
17.
Zurück zum Zitat Chellapa R, Wilson C, Sirohey S (1995) Human and machine recognition of faces: a survey. Proc IEEE 83(5):705–740CrossRef Chellapa R, Wilson C, Sirohey S (1995) Human and machine recognition of faces: a survey. Proc IEEE 83(5):705–740CrossRef
18.
Zurück zum Zitat Scholkopf B et al (1997) Comparing support vector machines with Gaussian kernels to radial basis function classifiers. IEEE Trans Signal Process 45(11):2758–2765CrossRef Scholkopf B et al (1997) Comparing support vector machines with Gaussian kernels to radial basis function classifiers. IEEE Trans Signal Process 45(11):2758–2765CrossRef
19.
Zurück zum Zitat Qian S, Chen D (1996) Joint time–frequency analysis: method and applications. Prentice Hall, Englewood Cliffs Qian S, Chen D (1996) Joint time–frequency analysis: method and applications. Prentice Hall, Englewood Cliffs
20.
Zurück zum Zitat Daubechies I (1990) The wavelet transform, time-frequency localization and signal analysis. IEEE Trans Inf Theory 36(5):961–1005MATHMathSciNetCrossRef Daubechies I (1990) The wavelet transform, time-frequency localization and signal analysis. IEEE Trans Inf Theory 36(5):961–1005MATHMathSciNetCrossRef
21.
Zurück zum Zitat Gabor D (1946) Theory of communications. J Inst Electr Eng 93:429–457 Gabor D (1946) Theory of communications. J Inst Electr Eng 93:429–457
22.
Zurück zum Zitat Daugman JG (1985) Uncertainty relation for resolution in space, spatial-frequency, and orientation opptimized by two-dimensional visual cortical filters. J Opt Soc Am A Opt Image Sci Vis 2(7):1160–1169CrossRef Daugman JG (1985) Uncertainty relation for resolution in space, spatial-frequency, and orientation opptimized by two-dimensional visual cortical filters. J Opt Soc Am A Opt Image Sci Vis 2(7):1160–1169CrossRef
23.
Zurück zum Zitat Kruger V, Sommer G (2002) Gabor wavelet networks for efficient head pose estimation. Image Vis Comput 20(9–10):665–672CrossRef Kruger V, Sommer G (2002) Gabor wavelet networks for efficient head pose estimation. Image Vis Comput 20(9–10):665–672CrossRef
24.
Zurück zum Zitat Kruger V, Sommer G (2002) Wavelet networks for face processing. J Opt Soc Am A Opt Image Sci Vis 19(6):1112–1119 Kruger V, Sommer G (2002) Wavelet networks for face processing. J Opt Soc Am A Opt Image Sci Vis 19(6):1112–1119
25.
Zurück zum Zitat Jain AK, Farrokhnia F (1991) Unsupervised texture segmentation using Gabor filters. Pattern Recognit 24(12):1167–1186CrossRef Jain AK, Farrokhnia F (1991) Unsupervised texture segmentation using Gabor filters. Pattern Recognit 24(12):1167–1186CrossRef
26.
Zurück zum Zitat Weldon TP, Higgins WE, Dunn DF (1996) Efficient Gabor filter design for texture segmentation. Pattern Recognit 29(12):2005–2015CrossRef Weldon TP, Higgins WE, Dunn DF (1996) Efficient Gabor filter design for texture segmentation. Pattern Recognit 29(12):2005–2015CrossRef
27.
Zurück zum Zitat Hamamoto Y et al (1998) A Gabor filter-based method for recognizing handwritten numerals. Pattern Recognit 31(4):395–400CrossRef Hamamoto Y et al (1998) A Gabor filter-based method for recognizing handwritten numerals. Pattern Recognit 31(4):395–400CrossRef
28.
Zurück zum Zitat Lee CJ, Wang SD (1999) Fingerprint feature extraction using Gabor filters. Electr Lett 35(4):288–290CrossRef Lee CJ, Wang SD (1999) Fingerprint feature extraction using Gabor filters. Electr Lett 35(4):288–290CrossRef
29.
Zurück zum Zitat Lades M et al (1993) Distortion invariant object recognition in the Dynamic Link Architecture. IEEE Trans Comput 42(3):300–311CrossRef Lades M et al (1993) Distortion invariant object recognition in the Dynamic Link Architecture. IEEE Trans Comput 42(3):300–311CrossRef
30.
Zurück zum Zitat Wiskott L et al (1997) Face recognition by elastic bunch graph matching. IEEE Trans PAMI 19(7):775–779 Wiskott L et al (1997) Face recognition by elastic bunch graph matching. IEEE Trans PAMI 19(7):775–779
31.
Zurück zum Zitat Mu XY, Hassoun MH (2003) Combining Gabor features: summing vs. voting in human face recognition. In: 2003 IEEE international conference on systems, man and cybernetics Mu XY, Hassoun MH (2003) Combining Gabor features: summing vs. voting in human face recognition. In: 2003 IEEE international conference on systems, man and cybernetics
32.
Zurück zum Zitat Duc B, Fischer S, Bigun J (1999) Face authentication with Gabor information on deformable graphs. IEEE Trans Image Process 8(4):504–516CrossRef Duc B, Fischer S, Bigun J (1999) Face authentication with Gabor information on deformable graphs. IEEE Trans Image Process 8(4):504–516CrossRef
33.
Zurück zum Zitat Jiao F et al (2002) A face recognition method based on local feature analysis. In: Proceedings of the 5th Asian conference on computer vision, pp 188–192 Jiao F et al (2002) A face recognition method based on local feature analysis. In: Proceedings of the 5th Asian conference on computer vision, pp 188–192
34.
Zurück zum Zitat Liao R, Li S (2000) Face recognition based on multiple facial features. In: Proceedings of the 4th IEEE international conference on automatic face and gesture recognition, pp 239–244 Liao R, Li S (2000) Face recognition based on multiple facial features. In: Proceedings of the 4th IEEE international conference on automatic face and gesture recognition, pp 239–244
35.
Zurück zum Zitat Liu CJ, Wechsler H (2002) Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition. IEEE Trans Image Process 11(4):467–476CrossRef Liu CJ, Wechsler H (2002) Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition. IEEE Trans Image Process 11(4):467–476CrossRef
36.
Zurück zum Zitat Ayinde O, Yang YH (2002) Face recognition approach based on rank correlation of Gabor-filtered images. Pattern Recognit 35(6):1275–1289MATHCrossRef Ayinde O, Yang YH (2002) Face recognition approach based on rank correlation of Gabor-filtered images. Pattern Recognit 35(6):1275–1289MATHCrossRef
37.
Zurück zum Zitat Shen L, Bai L, Fairhurst M (2006) Gabor wavelets and Generalized Discriminant Analysis for face identification and verification. Image Vis Comput (in press) Shen L, Bai L, Fairhurst M (2006) Gabor wavelets and Generalized Discriminant Analysis for face identification and verification. Image Vis Comput (in press)
38.
Zurück zum Zitat Phillips PJ et al (2000) The FERET evaluation methodology for face-recognition algorithms. IEEE Trans PAMI 22(10):1090–1104 Phillips PJ et al (2000) The FERET evaluation methodology for face-recognition algorithms. IEEE Trans PAMI 22(10):1090–1104
39.
Zurück zum Zitat Messer K et al (2004) Face authentication test on the BANCA database. In: Proceedings of international conference on pattern recognition, Cambridge, pp 523–532 Messer K et al (2004) Face authentication test on the BANCA database. In: Proceedings of international conference on pattern recognition, Cambridge, pp 523–532
40.
Zurück zum Zitat Lim R, Reinders MJT, Thiang (2000) Facial landmark detection using a Gabor filter representation and a genentic search algorithm. In: Proceeding, seminar of intelligent technology and its applications Lim R, Reinders MJT, Thiang (2000) Facial landmark detection using a Gabor filter representation and a genentic search algorithm. In: Proceeding, seminar of intelligent technology and its applications
41.
Zurück zum Zitat Fasel IR, Barlett MS, Movellan JR (2002) A comparison of Gabor filter methods for automatic detection of facial landmarks. In: Proceedings of the 5th IEEE international conference on automatic face and gesture recognition, pp 231–235 Fasel IR, Barlett MS, Movellan JR (2002) A comparison of Gabor filter methods for automatic detection of facial landmarks. In: Proceedings of the 5th IEEE international conference on automatic face and gesture recognition, pp 231–235
42.
Zurück zum Zitat Smeraldi F, Bigun J (1998) Facial feature detection by saccadic exploration of the Gabor decomposition. In: Proceedings of the 1998 international conference on image processing, Chicago, pp 163–167 Smeraldi F, Bigun J (1998) Facial feature detection by saccadic exploration of the Gabor decomposition. In: Proceedings of the 1998 international conference on image processing, Chicago, pp 163–167
43.
Zurück zum Zitat Feris R et al (2002) Hierarchical wavelet networks for facial feature localization. In: Proceedings of 5th IEEE international conference on automatic face and gesture recognition, USA Feris R et al (2002) Hierarchical wavelet networks for facial feature localization. In: Proceedings of 5th IEEE international conference on automatic face and gesture recognition, USA
44.
Zurück zum Zitat McKenna S et al (1997) Tracking facial feature points with Gabor wavelets and shape models. In: Proceedings of international conference on audio- and video-based biometric person authentication: Crans-Montana, pp 35–42 McKenna S et al (1997) Tracking facial feature points with Gabor wavelets and shape models. In: Proceedings of international conference on audio- and video-based biometric person authentication: Crans-Montana, pp 35–42
45.
Zurück zum Zitat Li B, Chellapa R (2000) Gabor attributes tracking for face verification. In: Proceedings of IEEE conference on automatic face and gesture recognition, pp 45–48 Li B, Chellapa R (2000) Gabor attributes tracking for face verification. In: Proceedings of IEEE conference on automatic face and gesture recognition, pp 45–48
46.
Zurück zum Zitat Lyons MJ et al (2000) Classifying facial attributes using a 2-D Gabor wavelet representation and discriminant analysis. In: Proceedings of IEEE conference on automatic face and gesture recognition, pp 202–207 Lyons MJ et al (2000) Classifying facial attributes using a 2-D Gabor wavelet representation and discriminant analysis. In: Proceedings of IEEE conference on automatic face and gesture recognition, pp 202–207
47.
Zurück zum Zitat Ronald NB (1978) The Fourier transform and its applications. McGraw-Hill, Inc., New York Ronald NB (1978) The Fourier transform and its applications. McGraw-Hill, Inc., New York
48.
Zurück zum Zitat Kyrki V, Kamarainen JK, Kalviainen H (2004) Simple Gabor feature space for invariant object recognition. Pattern Recognit Lett 25(3):311–318CrossRef Kyrki V, Kamarainen JK, Kalviainen H (2004) Simple Gabor feature space for invariant object recognition. Pattern Recognit Lett 25(3):311–318CrossRef
49.
Zurück zum Zitat Granlund GH (1978) Search of a general picture processing operator. Comput Graph Image Process 8(2):155–173 Granlund GH (1978) Search of a general picture processing operator. Comput Graph Image Process 8(2):155–173
50.
Zurück zum Zitat Okajima K (1998) Two-dimensional Gabor-type receptive field as derived by mutual information maximization. Neural Netw 11(3):441–447CrossRef Okajima K (1998) Two-dimensional Gabor-type receptive field as derived by mutual information maximization. Neural Netw 11(3):441–447CrossRef
51.
Zurück zum Zitat Shen L, Bai L (2004) Face recognition based on Gabor features using kernel methods. In: Proceedings of the 6th IEEE conference on face and gesture recognition, Korea, pp 170–175 Shen L, Bai L (2004) Face recognition based on Gabor features using kernel methods. In: Proceedings of the 6th IEEE conference on face and gesture recognition, Korea, pp 170–175
52.
Zurück zum Zitat Jones JP, Palmer LA (1987) An evaluation of the two-dimensional Gabor filter model of simple receptive-fields in cat striate cortex. J Neurophysiol 58(6):1233–1258 Jones JP, Palmer LA (1987) An evaluation of the two-dimensional Gabor filter model of simple receptive-fields in cat striate cortex. J Neurophysiol 58(6):1233–1258
53.
Zurück zum Zitat Kruger V, Sommer G (2000) Gabor wavelet networks for object representation. Msc Thesis, Institute of Computer Science, University of Kiel Kruger V, Sommer G (2000) Gabor wavelet networks for object representation. Msc Thesis, Institute of Computer Science, University of Kiel
54.
Zurück zum Zitat Marcelja S (1980) Mathematical-description of the responses of simple cortical-cells. J Opt Soc Am 70(11):1297–1300MathSciNetCrossRef Marcelja S (1980) Mathematical-description of the responses of simple cortical-cells. J Opt Soc Am 70(11):1297–1300MathSciNetCrossRef
55.
Zurück zum Zitat Rong D, Su GD, Lin XG (2002) Face recognition algorithm using local and global information. Electr Lett 38(8):363–364CrossRef Rong D, Su GD, Lin XG (2002) Face recognition algorithm using local and global information. Electr Lett 38(8):363–364CrossRef
56.
Zurück zum Zitat Wiskott L (1999) The role of topographical constraints in face recognition. Pattern Recognit Lett 20(1):89–96MATHCrossRef Wiskott L (1999) The role of topographical constraints in face recognition. Pattern Recognit Lett 20(1):89–96MATHCrossRef
57.
Zurück zum Zitat Escobar MJ, Ruiz-del-Solar J (2002) Biologically-based face recognition using Gabor filters and log-polar images. In: International joint conference on neural networks—IJCNN, Honolulu, USA, pp 1143–1147 Escobar MJ, Ruiz-del-Solar J (2002) Biologically-based face recognition using Gabor filters and log-polar images. In: International joint conference on neural networks—IJCNN, Honolulu, USA, pp 1143–1147
58.
Zurück zum Zitat Gokberk B et al (2003) Optimal Gabor kernel selection for face recognition. In: Proceedings of the IEEE international conference on image processing, Barcelona, pp 677–680 Gokberk B et al (2003) Optimal Gabor kernel selection for face recognition. In: Proceedings of the IEEE international conference on image processing, Barcelona, pp 677–680
59.
Zurück zum Zitat Wang XL, Qi HR (2002) Face recognition using optimal non-orthogonal wavelet basis evaluated by information complexity. In: Proceedings of the 16th internatinal conference on pattern recognition, pp 164–167 Wang XL, Qi HR (2002) Face recognition using optimal non-orthogonal wavelet basis evaluated by information complexity. In: Proceedings of the 16th internatinal conference on pattern recognition, pp 164–167
60.
Zurück zum Zitat Chung KC, Kee SC, Kim SR (1999) Face recognition using principal component analysis of Gabor filter responses. In: International workshop on recognition, analysis, and tracking of faces and gestures in real-time systems, Corfu, pp 53–57 Chung KC, Kee SC, Kim SR (1999) Face recognition using principal component analysis of Gabor filter responses. In: International workshop on recognition, analysis, and tracking of faces and gestures in real-time systems, Corfu, pp 53–57
61.
Zurück zum Zitat Wu HY, Yoshida Y, Shioyama T (2002) Optimal Gabor filters for high speed face identification. In: Proceedings of international conference on pattern recognition, pp 107–110 Wu HY, Yoshida Y, Shioyama T (2002) Optimal Gabor filters for high speed face identification. In: Proceedings of international conference on pattern recognition, pp 107–110
62.
Zurück zum Zitat Kepenekci B, Tek FB, Akar GB (2002) Occluded face recognition based on Gabor wavelets. In: Proceedings of the IEEE international conference on image processing, pp 293–296 Kepenekci B, Tek FB, Akar GB (2002) Occluded face recognition based on Gabor wavelets. In: Proceedings of the IEEE international conference on image processing, pp 293–296
63.
Zurück zum Zitat Hjelmas E (2000) Feature-based face recognition. In: Proceedings of NOBIM (Norwegian Image Processing and Pattern Recognition Conference) Hjelmas E (2000) Feature-based face recognition. In: Proceedings of NOBIM (Norwegian Image Processing and Pattern Recognition Conference)
64.
Zurück zum Zitat Kepenekci B (2001) Face recognition using Gabor wavelet transform. Technical Report, Department of electrical and electronic engineering, The Middle Ease Technical University Kepenekci B (2001) Face recognition using Gabor wavelet transform. Technical Report, Department of electrical and electronic engineering, The Middle Ease Technical University
65.
Zurück zum Zitat Wang XG, Tang XO (2003) Bayesian face recognition using Gabor features. In: Proceedings of the 2003 ACM SIGMM workshop on biometrics methods and applications, pp 70–73 Wang XG, Tang XO (2003) Bayesian face recognition using Gabor features. In: Proceedings of the 2003 ACM SIGMM workshop on biometrics methods and applications, pp 70–73
66.
Zurück zum Zitat Shan SG et al (2004) Review the strength of Gabor features for face recognition from the angle of its robustness to mis-alignment. In: Proceedings of the 17th international conference on pattern recognition, pp 338–341 Shan SG et al (2004) Review the strength of Gabor features for face recognition from the angle of its robustness to mis-alignment. In: Proceedings of the 17th international conference on pattern recognition, pp 338–341
67.
Zurück zum Zitat Liu CJ, Wechsler H (2003) Independent component analysis of Gabor feature’s for face recognition. IEEE Trans Neural Netw 14(4):919–928CrossRef Liu CJ, Wechsler H (2003) Independent component analysis of Gabor feature’s for face recognition. IEEE Trans Neural Netw 14(4):919–928CrossRef
68.
Zurück zum Zitat Liu CJ (2004) Gabor-based kernel PCA with fractional power polynomial models for face recognition. IEEE Trans PAMI 26(5):572–581 Liu CJ (2004) Gabor-based kernel PCA with fractional power polynomial models for face recognition. IEEE Trans PAMI 26(5):572–581
69.
Zurück zum Zitat Shen L, Bai L (2004) Gabor wavelets and Kernel direct discriminant analysis for face recognition. In: Proceedings of the 17th international conference on pattern recognition, Cambridge, pp 284–287 Shen L, Bai L (2004) Gabor wavelets and Kernel direct discriminant analysis for face recognition. In: Proceedings of the 17th international conference on pattern recognition, Cambridge, pp 284–287
70.
Zurück zum Zitat Fan W et al (2004) Combining null space-based Gabor features for face recognition. In: Proceedings of the 17th international conference on pattern recognition, vol 1, pp 330–333 Fan W et al (2004) Combining null space-based Gabor features for face recognition. In: Proceedings of the 17th international conference on pattern recognition, vol 1, pp 330–333
71.
Zurück zum Zitat Chi WL, Dai G, Zhang L (2004) Face recognition based on independent Gabor features and support vector machine. In: Fifth World Congress on intelligent control and automation, pp 4030–4033 Chi WL, Dai G, Zhang L (2004) Face recognition based on independent Gabor features and support vector machine. In: Fifth World Congress on intelligent control and automation, pp 4030–4033
72.
Zurück zum Zitat Zhu J, Vai MI, Mak PU (2004) Gabor wavelets transform and extended nearest feature space classifier for face recognition. In: Proceedings of the 3rd international conference on image and graphics, pp 246–249 Zhu J, Vai MI, Mak PU (2004) Gabor wavelets transform and extended nearest feature space classifier for face recognition. In: Proceedings of the 3rd international conference on image and graphics, pp 246–249
73.
Zurück zum Zitat Strang G, Nguyen T (1996) Wavelets and filter banks. Wellesley-Cambridge Press, Cambridge Strang G, Nguyen T (1996) Wavelets and filter banks. Wellesley-Cambridge Press, Cambridge
74.
Zurück zum Zitat Mallet S, Zhong S (1992) Wavelet transform maxima and multiscale edges. In: Beylkin G, Coifman R, Daubechies I, Mallat S, Meyer Y, Raphael L, Ruskai M (eds) Wavelets and their applications. Jones and Bartlett, Cambridge Mallet S, Zhong S (1992) Wavelet transform maxima and multiscale edges. In: Beylkin G, Coifman R, Daubechies I, Mallat S, Meyer Y, Raphael L, Ruskai M (eds) Wavelets and their applications. Jones and Bartlett, Cambridge
75.
Zurück zum Zitat Zhang QG, Benveniste A (1992) Wavelet networks. IEEE Trans Neural Netw 3(6):889–898CrossRef Zhang QG, Benveniste A (1992) Wavelet networks. IEEE Trans Neural Netw 3(6):889–898CrossRef
76.
Zurück zum Zitat Zhang HH et al (2005) Gabor wavelet associative memory for face recognition. IEEE Trans Neural Netw 16(1):275–278CrossRef Zhang HH et al (2005) Gabor wavelet associative memory for face recognition. IEEE Trans Neural Netw 16(1):275–278CrossRef
77.
Zurück zum Zitat Zhang J, Yan Y, Lades M (1997) Face recognition: eigenface, elastic matching, and neural nets. Proc IEEE 85(9):1423–1435CrossRef Zhang J, Yan Y, Lades M (1997) Face recognition: eigenface, elastic matching, and neural nets. Proc IEEE 85(9):1423–1435CrossRef
78.
Zurück zum Zitat Kalocsai P, Zhao W, Elagin E (1998) Face similarity space as perceived by humans and artifical systems. In: Proceedings of the 3rd IEEE international conference on automatic face and gesture recognition, Japan, pp 177–180 Kalocsai P, Zhao W, Elagin E (1998) Face similarity space as perceived by humans and artifical systems. In: Proceedings of the 3rd IEEE international conference on automatic face and gesture recognition, Japan, pp 177–180
79.
Zurück zum Zitat Baillere EB, Bengio S (2003) The BANCA database and evaluation protocol. In: Proceedings of the 4th international conference on audio- and video-based biometric person authentication. Guilford, UK, pp 625–638 Baillere EB, Bengio S (2003) The BANCA database and evaluation protocol. In: Proceedings of the 4th international conference on audio- and video-based biometric person authentication. Guilford, UK, pp 625–638
80.
Zurück zum Zitat Messer K et al (1999) Xm2vtsdb: the extended m2vts database. In: Second international conference on audio and video-based biometric person authentication, pp 72–77 Messer K et al (1999) Xm2vtsdb: the extended m2vts database. In: Second international conference on audio and video-based biometric person authentication, pp 72–77
81.
Zurück zum Zitat Messer K et al (2003) Face verification competition on the XM2VTS database. In: Audio- and video-based biometric person authentication, proceedings, vol 2688, pp 964–974 Messer K et al (2003) Face verification competition on the XM2VTS database. In: Audio- and video-based biometric person authentication, proceedings, vol 2688, pp 964–974
82.
Zurück zum Zitat Liu DH, Lam KM, Shen LS (2004) Optimal sampling of Gabor features for face recognition. Pattern Recognit Lett 25(2):267–276CrossRef Liu DH, Lam KM, Shen LS (2004) Optimal sampling of Gabor features for face recognition. Pattern Recognit Lett 25(2):267–276CrossRef
83.
Zurück zum Zitat Kalocsai P, Neven H, Steffens J (1998) Statistical analysis of Gabor-filter representation. In: Proceedings of the 3rd IEEE international conference on automatic face and gesture recognition, pp 360–365 Kalocsai P, Neven H, Steffens J (1998) Statistical analysis of Gabor-filter representation. In: Proceedings of the 3rd IEEE international conference on automatic face and gesture recognition, pp 360–365
84.
Zurück zum Zitat Yang P et al (2004) Face recognition using ada-boosted gabor features. In: Proceedings of the 6th IEEE international conference on automatic face and gesture recognition, Soel, pp 356–361 Yang P et al (2004) Face recognition using ada-boosted gabor features. In: Proceedings of the 6th IEEE international conference on automatic face and gesture recognition, Soel, pp 356–361
85.
Zurück zum Zitat Shen L, Bai L (2004) AdaBoost Gabor feature selection for classification. In: Proceedings of image and vision computing New Zealand, pp 77–83 Shen L, Bai L (2004) AdaBoost Gabor feature selection for classification. In: Proceedings of image and vision computing New Zealand, pp 77–83
86.
Zurück zum Zitat Bai L, Shen L (2005) A fast and robust Gabor feature based method for face recognition. In: Proceedings of IEE international symposium on imaging for crime detection and prevention, London Bai L, Shen L (2005) A fast and robust Gabor feature based method for face recognition. In: Proceedings of IEE international symposium on imaging for crime detection and prevention, London
87.
Zurück zum Zitat Phillips PJ (1999) Support vector machines applied to face recognition. In: Proceedings of the 1998 conference on advances in neural information processing systems II. MIT press, Cambridge, pp 803–809 Phillips PJ (1999) Support vector machines applied to face recognition. In: Proceedings of the 1998 conference on advances in neural information processing systems II. MIT press, Cambridge, pp 803–809
88.
Zurück zum Zitat Shen L, Bai L (2006) Information theory for Gabor feature selectin for face recognition. Eurasip J Appl Signal Process (in press) Shen L, Bai L (2006) Information theory for Gabor feature selectin for face recognition. Eurasip J Appl Signal Process (in press)
89.
Zurück zum Zitat Fleuret F (2004) Fast binary feature selection with conditional mutual information. J Mach Learn Res 5:1531–1555MathSciNet Fleuret F (2004) Fast binary feature selection with conditional mutual information. J Mach Learn Res 5:1531–1555MathSciNet
90.
Zurück zum Zitat Shen L et al (2005) Gabor feature selection for face recognition using improved AdaBoost learning. In: Advances in biometric person authentication, proceedings, vol 3781. Lecture notes in computer science, pp 39–49 Shen L et al (2005) Gabor feature selection for face recognition using improved AdaBoost learning. In: Advances in biometric person authentication, proceedings, vol 3781. Lecture notes in computer science, pp 39–49
91.
Zurück zum Zitat Shen L, Bai L (2006) MutualBoost learning for selecting Gabor features for face recognition. Pattern Recognit Lett (in press) Shen L, Bai L (2006) MutualBoost learning for selecting Gabor features for face recognition. Pattern Recognit Lett (in press)
92.
Zurück zum Zitat Campbell NW, Thomas BT (1997) Automatic selection of Gabor filters for pixel classification. In: Sixth international conference on image processing and its applications, pp 761–765 Campbell NW, Thomas BT (1997) Automatic selection of Gabor filters for pixel classification. In: Sixth international conference on image processing and its applications, pp 761–765
93.
Zurück zum Zitat Sun Z, Bebis G, Miller R (2003) Evaluationary Gabor filter optimization with application to vehicle detection. In: Proceedings of the 3rd IEEE international conference on data mining, Florida Sun Z, Bebis G, Miller R (2003) Evaluationary Gabor filter optimization with application to vehicle detection. In: Proceedings of the 3rd IEEE international conference on data mining, Florida
Metadaten
Titel
A review on Gabor wavelets for face recognition
verfasst von
Linlin Shen
Li Bai
Publikationsdatum
01.10.2006
Verlag
Springer-Verlag
Erschienen in
Pattern Analysis and Applications / Ausgabe 2-3/2006
Print ISSN: 1433-7541
Elektronische ISSN: 1433-755X
DOI
https://doi.org/10.1007/s10044-006-0033-y

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