Face recognition using adaptively weighted patch PZM array from a single exemplar image per person

Pattern Recognition

Volumn 41, Issue 12, 2008, Pages 3799-3812

  Kanan, Hamidreza Rashidy ^a   Faez, Karim ^a   Gao, Yongsheng ^b  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^b GRIFFITH UNIVERSITY   (Australia)

Author keywords

Adaptively weighted patch pseudo Zernike moment; Face recognition; Local matching; Partial occlusion; Patch matching; Single model database; Zernike moment

Indexed keywords

DATABASE SYSTEMS;

ADAPTIVELY WEIGHTED PATCH PSEUDO ZERNIKE MOMENT; EXPERIMENTAL INVESTIGATIONS; FACE IMAGES; FACE REPRESENTATIONS; FACIAL EXPRESSIONS; GLOBAL INFORMATIONS; IDENTITY INFORMATION; ILLUMINATION CONDITIONS; LOCAL MATCHING; PARTIAL OCCLUSION; PARTIAL OCCLUSIONS; PATCH MATCHING; PSEUDO ZERNIKE MOMENTS; RECOGNITION TECHNIQUES; SINGLE MODEL DATABASE; SINGLE MODEL DATABASES; SYSTEM PERFORMANCES; WEIGHTING SCHEMES; YALE FACE DATABASES; ZERNIKE MOMENT;

FACE RECOGNITION;

EID: 49449087919     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2008.05.024     Document Type: Article

References (58)

1. Abu-Mostafa Y.S., and Psaltis D. Image normalization by complex moments. IEEE Trans. Pattern Anal. Mach. Intell. 7 1 (1985) 46-55
2. Dudani S.A., Breeding K.J., and McGhee R.B. Aircraft identification by moment invariants. IEEE Trans. Comput. C-26 1 (1983) 39-45
3. Hu M.K. Visual pattern recognition by moment invariants. IRE Trans. Inf. Theory IT-8 (1962) 179-187
4. Teague M.R. Image analysis via the general theory of moments. J. Opt. Soc. Am. 70 (1980) 920-930
5. Zernike F. Physica 1 (1934) 689
6. The C.H., and Chin R.T. On image analysis by the methods of moments. IEEE Trans. Pattern Anal. Mach. Intell. 10 4 (1988) 496-513
7. P. Tzouveli, K. Ntalianis, Kollias, Human face watermarking based on Zernike moments, in: IEEE Symposium on Signal Processing and Information Technology, 2005, pp. 399-404.
8. Y. Xin, S. Liao, M. Pawlak, Geometrically robust image watermarking via pseudo-Zernike moments, in: Proceedings of the Canadian Conference Electrical and Computer Engineering, vol. 2, 2004, pp. 939-942.
9. Jiang H., Ngo C.W., and Tan H.K. Gestalt-based feature similarity measure in trademark database. Pattern Recognition 39 5 (2006) 988-1001
10. Kim Y.S., and Kim W.Y. Content-based trademark retrieval system using a visually salient feature. Image Vision Comput. 16 12 (1998) 931-939
11. Sim D.G., Kim H.K., and Park R.H. Invariant texture retrieval using modified Zernike moments. Image Vision Comput. 22 4 (2004) 331-342
12. R. Mariani, Local invariants and local constraints for face recognition, in: ICPR, vol. 2, 2000, pp. 949-952.
13. J. Haddadnia, K. Faez, Neural network based face recognition with moment invariants, in: ICIP, vol. 1, 2001, pp. 1018-1021.
14. Haddadnia J., Faez K., and Ahmadi M. An efficient human face recognition system using pseudo Zernike moment invariant and radial basis function neural network. Int. J. Pattern Recognit. Arti. Intell. 17 1 (2003) 41-62
15. Haddadnia J., Faez K., and Ahmadi M. A neural based human face recognition system using an efficient feature extraction method with pseudo Zernike moment. J. Circuits Syst. Comput. 11 3 (2002) 283-304
16. Khotanzad A., and Hongs Y.H. Invariant image recognition by Zernike moments. IEEE Trans. Pattern Anal. Mach. Intell. 12 5 (1990) 489-497
17. Kan C., and Srinath M.D. Invariant character recognition with Zernike and orthogonal Fourier-Mellin moments. Pattern Recognition 35 1 (2002) 143-154
18. M. Sabaei, K. Faez, Unsupervised classification of handwritten Farsi numerals using evolution strategies, in: Proceedings of IEEE Region 10 Annual Conference on Speech and Image Technologies for Computing and Telecommunications (TENCON 97), vol. 1, 1997, pp. 403-406.
19. Z. Wen-ming, L. Shao-fa, Z. Xian-gui, A hybrid scheme for off-line Chinese signature verification, in: IEEE Conference on Cybernetics and Intelligent Systems, vol. 2, 2004, pp. 1402-1405.
20. Nassery P., and Faez K. Signature pattern recognition using moments invariant and a new fuzzy LVQ model. IEICE Trans. Inf. Syst. E81-D 12 (1998) 1483-1493
21. Ghosal S., and Mehrotra R. Segmentation of range images: an orthogonal moment-based integrated approach. IEEE Trans. Robotics Autom. 9 4 (1993) 385-399
22. Ying-Dong Q., Cheng-Song C., San-Ben C., and Jin-Quan L. A fast subpixel edge detection method using Sobel-Zernike moments operator. Image Vision Comput. 23 1 (2005) 11-17
23. Y.H. Pang, A.T.B. Jin, D.N.C. Ling, Personal authenticator on the basis of two-factors: palmprint features and tokenized random data, AI 2004 Lecture Notes on Artificial Intelligence, vol. 3339, 2004, pp. 227-236.
24. Jia X., and Nixon M.S. Extending the feature vector for automatic face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 17 12 (1995) 1167-1176
25. F. Samaria, A. Harter, Parameterisation of a stochastic model for human face identification, in: Second IEEE Workshop on Applications of Computer Vision, 1994, URL: 〈http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html〉.
26. A. Pentland, B. Moghaddam, T. Starner, View-based and modular eigenspaces for face recognition, in: CVPR, 1994, pp. 84-91.
27. Penev P.S., and Atick J.J. Local feature analysis: a general statistical theory for object representation. Network-Comput. Neural Syst. 7 3 (1996) 477-500
28. Heisele B., Ho P., Wu J., and Poggio T. Face recognition: component-based versus global approaches. Comput. Vision Image Understanding 91 1-2 (2003) 6-21
29. Gottumukkal R., and Asari V.K. An improved face recognition technique based on modular PCA approach. Pattern Recognition Lett. 25 4 (2004) 429-436
30. Price J.R., and Gee T.F. Face recognition using direct, weighted linear discriminant analysis and modular subspaces. Pattern Recognition 38 2 (2005) 209-219
31. Tan K., and Chen S. Adaptively weighted sub-pattern PCA for face recognition. Neurocomputing 64 (2005) 505-511
32. Nanni L., and Maio D. Weighted sub-Gabor for face recognition. Pattern Recognition Lett. 28 4 (2007) 487-492
33. Ahonen T., Hadid A., and Pietikäinen M. Face description with local binary patterns: application to face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 28 12 (2006) 2037-2041
34. S. Lucey, T. Chen, Learning patch dependencies for improved pose mismatched face verification, in: CVPR, vol. 1, 2006, pp. 909-915.
35. Y. Su, S. Shan, X. Chen, W. Gao, Patch-based Gabor Fisher classifier for face recognition, in: ICPR, vol. 2, 2006, pp. 528-531.
36. Martínez A.M. Recognizing imprecisely localized, partially occluded, and expression variant faces from a single sample per class. IEEE Trans. Pattern Anal. Mach. Intell. 24 6 (2002) 748-763
37. Tan X., Chen S., Zhou Z.H., and Zhang F. Face recognition from a single image per person: a survey. Pattern Recognition 39 9 (2006) 1725-1745
38. X. Tan, S. Chen, Z.H. Zhou, F. Zhang, Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble, IEEE Trans. Neural Networks (16) (4) (2005) 875-886.
39. Gao Y., and Leung M.K.H. Face recognition using line edge map. IEEE Trans. Pattern Anal. Mach. Intell. 24 6 (2002) 764-779
40. Gao Y., and Qi Y. Robust visual similarity retrieval in single model face databases. Pattern Recognition 38 7 (2005) 1009-1020
41. Campbell R. The lateralization of emotion: a critical review. Int. J. Psychology 17 (1982) 211-219
42. Ekman P., and Friesen W. Facial Action Coding System: A Technique for the Measurements of Facial Movements (1978), Consulting Psychologists Press
43. Hager J. Asymmetries in facial expression. In: Ekman P. (Ed). Emotion in the Human Face (1982), Cambridge University Press, Cambridge 318-352
44. Moscovitch M., and Olds J. Asymmetries in spontaneous facial expressions and their possible relation to their hemispheric specialization. Neuropsychologia 20 (1982) 71-81
45. Sackheim H., Gur R.C., and Saucy M.C. Emotions are expressed more intensively on the left side of the face. Science 202 (1978) 434-436
46. Bruce V. Recognizing Faces (1988), Lawrence Erlbaum, London, U.K
47. Shepherd J.W., Davies G.M., and Ellis H.D. Studies of cue saliency. In: Davies G.M., Ellis H.D., and Shepherd J.W. (Eds). Perceiving and Remembering Faces (1981), Academic Press, London, UK
48. Zhao W., Chellappa R., Phillips P.J., and Rosenfeld A. Face recognition: a literature survey. ACM Comput. Surv. 35 4 (2003) 399-458
49. A.M. Martínez, R. Benavente, The AR Face Database, CVC Technical Report No. 24, June 1998, URL: 〈http://rvl1.ecn.purdue.edu/~aleix/aleix_face_DB.html〉.
50. Yale University Face Database, 〈http://cvc.yale.edu/projects/yale-faces/yalefaces.html〉, 2002.
51. Bhatia A.B., and Wolf E. Proc. Cambridge Philes. Soc. 50 (1954) 40-48
52. Wee C.Y., and Raveendran P. On the computational aspects of Zernike moments. Image Vision Comput. 25 6 (2007) 967-980
53. Shannon C.E. A mathematical theory of communication. Bell Syst. Tech. J. 27 (1948) 379-423 623-656
54. A.M. Martínez, Recognition of partially occluded and/or imprecisely localized faces using a probabilistic approach, in: Proceedings of the IEEE Computer Vision and Pattern Recognition (CVPR), vol. I, 2000, pp. 712-717.
55. Turk M., and Pentland A. Eigenfaces for recognition. J. Cognitive Neurosci. 3 1 (1991) 71-86
56. Belhumeur P.N., Hespanha J.P., and Kriegman D.J. Eigenfaces vs. Fisherfaces: recognition using class specific linear projection. IEEE Trans. Pattern Anal. Mach. Intell. 19 (1997) 711-720
57. P.J. Phillips, H. Moon, P. Rauss, S.A. Rizvi, The FERET evaluation methodology for face-recognition algorithms, in: Proceedings of the First International Conference on Audio and Video-Based Biometric Person Authentication, 1997.
58. C. Darwin, The Expression of the Emotions in Man and Animals, John Murray, London, 1872 (Reprinted by University of Chicago Press, 1965).