Face recognition using holistic Fourier invariant features

Pattern Recognition

Volumn 34, Issue 1, 2001, Pages 95-109

  Lai, Jian Huang ^a,b   Yuen, Pong C ^a   Feng, Guo Can ^a,b  

^a HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

^b SUN YAT SEN UNIVERSITY   (China)

Author keywords

Face recognition; Fourier transform; Spectroface; Wavelet transform

Indexed keywords

DATABASE SYSTEMS; FOURIER TRANSFORMS; IMAGE COMPRESSION; WAVELET TRANSFORMS; IMAGE ANALYSIS; RESPONSE TIME (COMPUTER SYSTEMS);

FACE RECOGNITION SYSTEMS; FACE REPRESENTATIONS; FACIAL EXPRESSION VARIATIONS; FACIAL EXPRESSIONS; INVARIANT FEATURES; RECOGNITION ACCURACY; RECOGNITION SYSTEMS; SPECTROFACE; FACE RECOGNITION;

FACE RECOGNITION; OBJECT RECOGNITION;

EID: 0035200756     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(99)00200-9     Document Type: Article

References (44)

1. R. Chellappa, C.L. Wilson, S. Sirohey, Human and machines recognition of faces: a survey, Proc. IEEE 83 (5) (1995) 705-740.
2. A. Samal, P.A. Lyengar, Automatic recognition and analysis of human faces and facial expressions: a survey, Pattern Recognition 25 (1) (1992) 65-77.
3. A.L. Yuille, P.W. Hallinan, D.S. Cohen, Feature extraction from faces using deformable templates, Int. J Comput. Vision 8 (2) (1992) 99-111.
4. S.H. Jeng, H.Y.M. Liao, C.C. Han, M.Y. Chern, Y.T. Liu, Facial feature detection using geometrical face model: an efficient approach, Pattern Recognition 31 (3) (1998) 273-282.
5. K.M. Lam, H. Yan, Location and extracting the eye in human face images, Pattern Recognition 29 (5) (1996) 771-779.
6. X. Xie, R. Sudhakar, H. Zhuang, On improving eye feature extraction using deformable templates, Pattern Recognition 27 (6) (1994) 791-799.
7. H. Okada, J. Steffens, T. Maurer, H. Hong, E. Elagin, H. Neven, C. Malsburg, The Bochum/USC face recognition system, Face Recognition: From Theory to Applications, Springer, Berlin, 1998, pp. 186-205.
8. R. Brunelli, T. Poggio, Face recognition: feature verus templates, IEEE Trans. Pattern Anal. Mach. Intell. 15 (10) (1993) 1042-1052.
9. T. Kanade, Picture processing by computer and recognition of human faces, Technical Report, Tokyo University, 1973.
10. H.C. Huang, M. Ouhyoung, J.L. Wu, Automatic feature point extraction on a human in model-based image coding, Opt. Engng. 32 (7) (1993) 1571-1580.
11. C.W. Chen, C.L. Huang, Human face recognition from a single front view, Int. J. Pattern Recognition Artif. Intel. 6 (4) (1993) 571-579.
12. H.H.S. Ip, J.M.C. Ng, Human face recognition using Dempster-Shafer theory. Proceedings of IEEE International Conference on Image Processing 1994, pp. 292-295.
13. M.S. Kamel, H.C. Shen, A.K.C. Wong, System for the recognition of human faces, IBM Systems J. 32 (2) (1993) 307-320.
14. L. Wiskott, J.M. Fellous, N. Kruger, C. Malsburg, Face recognition by elastic bunch graph matching, IEEE Trans. Pattern Anal. Mach. Intell. 19 (7) (1997) 775-780.
15. P.C. Yuen, D.Q. Dai, G.C. Feng, Wavelet-based PCA for human face recognition, Proceeding of IEEE Southwest Symposium on Image Analysis and Interpretation, 1998, pp. 223-228.
16. G.C. Feng, P.C. Yuen, Variance projection function and its application to eye detection for human face recognition, Pattern Recognition Lett. 19 (1998) 899-906.
17. L. Sirovich, M. Kirby, Low-dimensional procedure for the characterization of human faces, J. Opt. Soc. Am. A. 4 (3) (1987) 519-524.
18. M. Turk, A. Pentland, Eigenfaces for recognition, J. Cognitive Neurosci 3 (1) (1991) 71-86.
19. W. Zhao, A. Krishnaswamy, R. Chellappa, D.L. Swets, J. Weng, Discriminant analysis of principal components for face recognition, Face Recognition: From Theory to Applications, Springer, Berlin, 1988, pp. 73-85.
20. K.M. Lam, H. Yan, An analytic-to-holistic approach for face recognition based on a single frontal view, IEEE Trans. Pattern Anal. Mach. Intell. 20 (7) (1998) 673-686.
21. P.J.Phillips, H.Wechsler, J. Huang, P.J.Rauss,TheFERET database and evaluation procedure for face-recognition algorithms, Image Vision Comput. 16 (1998) 295-306.
22. J.H. Lai, P.C. Yuen, G.C. Feng, Spectroface: a Fourierbased approach for human face recognition, Proceeding of The second International Conference on Multimodal Interface, Hong Kong, 1999, pp. VI 115-120.
23. M. Kirby, L. Sirovich, Application of karhunen-Loeve procedure for characterization of human faces, IEEE Trans. Pattern Anal. Mach. Intell. 12 (1990) 103-108.
24. A. O'Toole, H. Abdi, K. De!enbacher, D. Valentin, Lowdimensional representation of faces in higher dimensions of the face space, J. Opt. Soc. Am. A. 10 (3) (1993) 405-411.
25. J. Weng, N. Ahuja, T.S. Huang, Learning recognition and egmentation of 3D objects from 2D images, Proceedings of ICCV, 1993, pp. 121-128.
26. A.P. Ginsburg, Visual information processing based on spatial filters constrained by biological data, AMRL Technical Report, 1978, pp. 78-129.
27. L.D. Harmon, The recognition of faces, Sci. Am. 229 (1973) 71-82.
28. J. Sergent, Microgenesis of face perception, in: H.D. Ellis, M.A. Jeeves, F. Newcombe, A. Young (Eds.), Aspects of Face Processing, Nijho!, Dordrecht, 1986.
29. C. Nastar, B. Moghaddam, A. Pentland, Flexible images: matching and recognition using learned deformations, Comput. Vision Image Understanding 65 (2) (1997) 179-191.
30. C. Nastar, N. Ayache, Frequency-based non-rigid motion analysis, IEEE Trans. Pattern Anal. Mach. Intell. 18 (11) (1996) 1067-1079.
31. S.T. Bow, Pattern Recognition and Image Preprocessing, Marcel Dekker, Inc., 1992, pp. 203-274.
32. S. Mallat, Multriresolution approximations and wavelet orthonormal bases of ̧2(R), Trans. Am. Math. Soc. 315 (1989) 69-88.
33. S. Mallat, A theory of multriresolution signal decomposition: the wavelet representation, IEEE Trans. Pattern Anal. Mach. Intell. 11 (1989) 674-693.
34. I. Daubechies, Orthonormal bases of compactly supported wavelets, commun. Pure Appl. Math. 41 (1988) 909-996.
35. I. Daubechies, The wavelet transform, time-frequency Localization and signal analysis, IEEE Trans. Inform. Theory 36 (1990) 961-1005.
36. A. Grossmann, J. Morlet, Decomposition of Hardy function into square integrable wavelets of constant shape, SIAM J. Math. Anal. 15 (1984) 723-736.
37. G.H. Ganlund, Fourier preprocessing for handprint character recognition, IEEE Trans. Comput 21 (2) (1972) 195-200.
38. M.K. Hu, Visual pattern recognition by moment invariants, IRE Trans. Inform. Theory 8 (1962) 179-187.
39. Y.L. Sheng, Fourier-Mellin spatial filters for invariant pattern recognition, Opt. Engng. 28 (5) (1989) 494-500.
40. D. Casasent, D. Psaltis Position, rotation and scale invariant optical correlation, App. Opt. 15 (7) (1976) 1795-1799.
41. H.A. Rowley, S. Baluja, T. Kanade, Neural network-based face detection, IEEE Trans. Pattern Anal. Mach. Intell. 20 (1) (1998) 23-38.
42. K.K. Sung, T. Poggio, Example-based learning for viewbased human face detection, IEEE Trans Pattern Anal. Mach. Intell. 20 (1) (1998) 39-51.
43. E. Saber, A.M. Tekalp, Frontal-view face detection and facial feature extraction using color, shape and symmetry based cost functions, Pattern Recognition Lett. 19 (1998) 669-680.
44. P.N. Belhumeur, J.P. Hespanha, D.J. Kriegman, Eigenfaces vs. fisherfaces: recognition using class specific linear projection, IEEE Trans. Pattern Anal. Mach. Intell. 19 (7) (1997) 711-720.