Face recognition using decimated redundant discrete wavelet transforms

Machine Vision and Applications

Volumn 23, Issue 2, 2012, Pages 391-401

  Li, Deqiang ^a   Tang, Xusheng ^a   Pedrycz, Witold ^b,c  

^a SHENYANG INSTITUTE OF AUTOMATION   (China)

^b UNIVERSITY OF ALBERTA   (Canada)

^c SYSTEMS RESEARCH INSTITUTE   (Poland)

Author keywords

Decimated redundant discrete wavelet transform; Face recognition; Misalignment; Redundant discrete wavelet transform

Indexed keywords

ENSEMBLE CLASSIFIERS; FACE IMAGES; FACE RECOGNITION METHODS; FACIAL FEATURE; INPUT SIGNAL; LOCAL CLASSIFIER; LOCAL FEATURE; MISALIGNMENT; ORIGINAL SIGNAL; RECOGNITION PERFORMANCE; REDUNDANT DISCRETE WAVELET TRANSFORM; TRANSLATION INVARIANTS; WAVELET FEATURES;

FACE RECOGNITION; PROBES; TRANSLATION (LANGUAGES);

DISCRETE WAVELET TRANSFORMS;

EID: 84861618222     PISSN: 09328092     EISSN: 14321769     Source Type: Journal    
DOI: 10.1007/s00138-011-0331-2     Document Type: Article

References (40)

1. Turk, M., Pentland, A.: Face recognition using eigenfaces. In: Proceedings of IEEE Conference on ComputerVision and Pattern Recognition, pp. 586-591 (1991)
2. Belhumeur, P.N., Hespanha, J.P., Kriegman, D.J.: Eigenfaces vs. Fisherfaces: recognition using class specific linear projection. IEEE Trans. Pattern Anal. Mach. Intell. 19(7), 711-720 (1997) (Pubitemid 127762263)
3. Bartlett, M.S., Movellan, J.R., Sejnowski, T.J.: Face recognition by independent component analysis. IEEE Trans. Neural Netw. 13(6), 1450-1464 (2002) (Pubitemid 35428531)
4. Jiang, X., Mandal, B., Kot, A.: Complete discriminant evaluation and feature extraction in kernel space for face recognition. Mach. Vis. Appl. 20, 35-46 (2009)
5. Shen, L., Bai, L.: MutalBoost learning for selecting Gabor features for face recognition. Pattern Recognit. Lett. 27(15), 1758-1767 (2006) (Pubitemid 44353845)
6. Guo, Y., Xu, Z.: Local Gabor phase difference pattern for face recognition. In: Proceedings of 19th International Conference on Pattern Recognition, ICPR, pp. 1-4 (2008)
7. Su, Y., Shan, S., Chen, X., Gao, W.:Hierarchical ensemble of global and local classifiers for face recognition. IEEE Trans. Image Process. 18(8), 1885-1896 (2009)
8. Verschae, R., Ruiz-del-Solar, J., Correa, M.: A unified learning framework for object detection and classification using nested cascades of boosted classifiers. Mach. Vis. Appl. 19, 85-103 (2008) (Pubitemid 351192829)
9. Jarillo, G., Pedrycz, W., Reformat, M.: Aggregation of classifiers based on image transformations in biometric face recognition. Mach. Vis. Appl. 19, 125-140 (2008) (Pubitemid 351177990)
10. Zhao, W., Chellappa, R., Phillips, P.J., Rosenfeld, A.: Face recognition: a literature survey. ACM Comput. Surv. 35(4), 399-459 (2003)
11. Wang, H., Yan, S., Huang, T., Liu, J., Tang, X.:Misalignment robust face recognition. IEEE Conference on ComputerVision and Pattern Recognition, CVPR, pp. 1-6 (2008)
12. Shan, S., Gao, W., Chang, Y., Cao, B., Yang, P.: Review of the strength of Gabor features for face recognition from the angle of its robustness to mis-alignment. In: 17th International Conference on Pattern Recognition, pp. 338-341 (2004)
13. Xu, D., Yan, S., Luo, J.: Face recognition using spatially constrained earth mover's distance. IEEE Trans. Image Process. 17(11), 2256-2260 (2008)
14. Chen, L., Zhang, L., Zhu, L., Li, M., Zhang, H.: A novel facial feature point localization algorithm using probabilistic-like output. Asian Conference on Computer Vision, pp. 1-6 (2004)
15. Shan, S., Chang, Y., Gao, W., Cao, B.: Curse of mis-alignment in face recognition: problem and a novel mis-alignment learning solution. In: IEEE InternationalConference on Automatic Face and Gesture Recognition, pp. 314-320 (2004)
16. Kwak, K.C., Pedrycz, W.: Face recognition using fuzzy integral and wavelet decomposition method. IEEE Trans. Syst. Man Cybern. Part B Cybern, 34(1), 1666-1675 (2004)
17. Jadhav, D.V., Holambe, R.S.: Feature extraction using radon and wavelet transforms with application to face recognition. Neurocomputing 72, 1951-1959 (2009)
18. Saito, N., Coifman, R.R., Geshwind, F.B., Warner, F.:Discriminant feature extraction using empirical probability density estimation and a local basis library. Pattern Recognit. 35(12), 2841-2852 (2002)
19. Coifman, R., Wickerhauser, M.V.: Entropy-based algorithms for best basis selection. IEEE Trans. Inform. Theory 38(2), 713-718 (1992)
20. Li, D., Pedrycz, W., Pizzi, N.J.: Fuzzy and wavelet packet based feature extraction method and its application to signal classification. IEEE Trans. Biomed. Eng. 52(6), 1132-1139 (2005) (Pubitemid 40813845)
21. Holschneider, M., Kronland-Martinet, R., Morlet, J., Tchamitchian, P. : A real-time algorithm for signal analysis with the help of the wavelet transform. In: Combes, J.-M., Grossman, A., Tchamitchian, P. (eds.) Wavelets: Time-Frequency Methods and Phase Space, pp. 286-297. Springer, Berlin (1989)
22. Nason, G.P., Silverman, B.W.: The stationary wavelet transform and some statistical applications. Lecture Notes in Statistics, pp. 281-299. Springer, Berlin (1995)
23. Lang, M., Guo, H., Odegard, J.E., Burrus, C.S., Wells, R.O. Jr.: Noise reduction using an undecimated discrete wavelet transform. IEEE Signal Process. Lett. 3(1), 10-12 (1996) (Pubitemid 126551079)
24. Liang, J., Parks, T.W.: A translation invariant wavelet representation algorithm with applications. IEEE Trans. Signal Process. 44(2), 225-232 (1996) (Pubitemid 126776428)
25. Pesquet, J.C., Krim, K., Carfantan, H.: Time-invariant orthonormal wavelet representations. IEEE Trans. Signal Process. 44(8), 1964-1970 (1996) (Pubitemid 126778017)
26. Fowler, J.E.: The redundant discretewavelet transform and additive noise. IEEE Signal Process. Lett. 12(9), 629-632 (2005) (Pubitemid 41554401)
27. Beylkin, G.: On the representation of operators in bases of compactly supported wavelets. SIAM. J. Numer. Anal. 29(6), 1716-1740 (1992) (Pubitemid 23606068)
28. Shensa, M.J.: The discrete wavelet transform: wedding the à trous andMallat algorithms. IEEE Trans. Signal Process. 40(10), 2464-2482 (1992)
29. Coifman, R.R., Donoho, D.L.: Translation invariant de-noising, wavelet and statistics. In: Antoniadis, A., Oppenheim, G.: (eds.) Lecture Notes in Statistics, pp. 125-150. Springer, Berlin (1995)
30. Li, D., Luo, H., Shi, Z.: RedundantDWT based translation invariant wavelet feature extraction for face recognition. In: Proceedings of 19th International Conference on Pattern Recognition, ICPR 1-4 (2008)
31. FERET database. http://www.nist.gov/humanid/feret/
32. Phillips, P.J., Flynn, P.J., Scruggs, T., Bowyer, K.W., Chang, J., Hoffman, K., Marques, J., Min, J., Worek, W.: Overview of the face recognition grand challenge. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR, pp. 947-954 (2005) (Pubitemid 43897294)
33. Phillips, P.J., Moon, H., Rizvi, S., Rauss, P.: The FERET evaluation methodology for face-recognition algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 22(10), 1090-1104 (2000)
34. Phillips, P.J., Grother, P., Micheals, R.J., Blackburn, D.M., Tabassi, E., Bone, M.: Face recognition vendor test 2002: Evaluation report
35. Aguerrebere, C., Capdehourat, G., Delbracio, M., Mateu, M., Fern'andez, A., Lecumberry, F.: Aguar'a: an improved face recognition algorithm through Gabor filter adaptation. In: IEEE Workshop in Automatic Identification Technologies, AutoID, pp. 74-79 (2007) (Pubitemid 47487095)
36. Liu, C.: Capitalize on dimensionality increasing techniques for improving face recognition performance. IEEE Trans. Pattern Anal. Mach. Intell. 28(5), 725-737 (2006)
37. Zhang, B., Wang, Z., Zhong, B.: Kernel learning of histogram of local Gabor phase patterns for face recognition. EURASIP J. Adv. Signal Process. 1-8 (2008) (article ID 469109). doi:10.1155/2008/469109
38. Zhang, B., Shan, S., Chen, X., Gao, W.: Histogram of gabor phase patterns (HGPP): a novel object representation approach for face recognition. IEEE Trans. Image Process. 16(1), 57-68 (2007) (Pubitemid 46437469)
39. Pun, C.-M., Lee, M.-C.: Extraction of shift invariant wavelet features for classification of images with different sizes. IEEE Trans. Pattern Anal. Mach. Intell. 26(9), 1228-1233 (2004)
40. Kwak, K.C., Pedrycz, W.: Face recognition using fuzzy fisherface classifier. Pattern Recognit. 38(10), 1717-1732 (2005) (Pubitemid 41037104)