Super-resolution method for face recognition using nonlinear mappings on coherent features

IEEE Transactions on Neural Networks

Volumn 22, Issue 1, 2011, Pages 121-130

  Huang, Hua ^a   He, Huiting ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Canonical correlation analysis; face recognition; radial basis function; super resolution

Indexed keywords

CANONICAL CORRELATION ANALYSIS; FACE IMAGES; FACE RECOGNITION ALGORITHMS; FACIAL RECOGNITION; FEATURE SPACE; HIGH RESOLUTION; NEAREST NEIGHBOR CLASSIFIER; NONLINEAR MAPPINGS; OLIVETTI RESEARCH LABORATORY DATABASE; RADIAL BASIS FUNCTIONS; RBF MODEL; RECOGNITION RATES; REGRESSION ERRORS; SCIENCE AND TECHNOLOGY; SUPER RESOLUTION; SUPERRESOLUTION METHODS; UNIVERSITY OF MANCHESTER;

ATTITUDE CONTROL; CLASSIFIERS; FEATURE EXTRACTION; IMAGE SEGMENTATION; MAPPING; NONLINEAR ANALYSIS; OPTICAL RESOLVING POWER; PRINCIPAL COMPONENT ANALYSIS; RADIAL BASIS FUNCTION NETWORKS; RESEARCH LABORATORIES;

FACE RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER PROGRAM; COMPUTER SIMULATION; FACE; HISTOLOGY; HUMAN; NONLINEAR SYSTEM; PATTERN RECOGNITION; PHYSIOLOGY; STANDARD;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FACE; HUMANS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PATTERN RECOGNITION, AUTOMATED; PATTERN RECOGNITION, VISUAL; SOFTWARE DESIGN;

EID: 78651299749     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2010.2089470     Document Type: Article

References (58)

1. W. Zhao, R. Chellappa, P. Phillips, and A. Rosenfeld, "Face recognition: A literature survey," ACM Comput. Surveys (CSUR), vol. 35, no. 4, pp. 399-458, Dec. 2003.
2. O. Sezer, Y. Altunbasak, and A. Ercil, "Face recognition with independent component-based super-resolution," in Proc. SPIE Visual Commun. Image Process., vol. 6077. San Francisco, CA, 2006, pp. 52-66.
3. J. Lu, K. Plataniotis, A. Venetsanopoulos, and S. Li, "Ensemblebased discriminant learning with boosting for face recognition," IEEE Trans. Neural Netw., vol. 17, no. 1, pp. 166-178, Jan. 2006.
4. J. Lu, X. Yuan, and T. Yahagi, "A method of face recognition based on fuzzy c-means clustering and associated sub-NNs," IEEE Trans. Neural Netw., vol. 18, no. 1, pp. 150-160, Jan. 2007.
5. S. Phung and A. Bouzerdoum, "A pyramidal neural network for visual pattern recognition," IEEE Trans. Neural Netw., vol. 18, no. 2, pp. 329- 343, Mar. 2007.
6. K.-C. Kwak and W. Pedrycz, "Face recognition using an enhanced independent component analysis approach," IEEE Trans. Neural Netw., vol. 18, no. 2, pp. 530-541, Mar. 2007.
7. J. V. Ouwerkerk, "Image super-resolution survey," Image Vis. Comput., vol. 24, no. 10, pp. 1039-1052, Oct. 2006.
8. S. C. Park, M. K. Park, and M. G. Kang, "Super-resolution image reconstruction: A technical overview," IEEE Signal Process. Mag., vol. 20, no. 3, pp. 21-36, May 2003.
9. S. Baker and T. Kanade, "Hallucinating faces," in Proc. 4th IEEE Int. Conf. Autom. Face Gesture Recognit., Grenoble, France, Mar. 2000, pp. 83-88.
10. F. Lin, C. Fookes, V. Chandran, and S. Sridharan, "Super-resolved faces for improved face recognition from surveillance video," in Advances in Biometrics (Lecture Notes in Computer Science), vol. 4642, New York: Springer-Verlag, 2007, pp. 1-10.
11. X. Wang and X. Tang, "Hallucinating face by eigentransformation, " IEEE Trans. Syst., Man, Cybern., Part C: Appl. Rev., vol. 35, no. 3, pp. 425-434, Aug. 2005.
12. F. Wheeler, X. Liu, and P. Tu, "Multi-frame super-resolution for face recognition," in Proc. IEEE Conf. Biometrics: Theory, Appl. Syst., Crystal City, VA, Sep. 2007, pp. 1-6.
13. P. Sinha, B. Balas, Y. Ostrovsky, and R. Russell, "Face recognition by humans: Nineteen results all computer vision researchers should know about," Proc. IEEE, vol. 94, no. 11, pp. 1948-1962, Nov. 2006.
14. L. Wiskott, J.-M. Fellous, N. Krüger, and C. von der Malsburg, "Face recognition by elastic bunch graph matching," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 775-779, Jul. 1997.
15. H. Zhang, B. Zhang, W. Huang, and Q. Tian, "Gabor wavelet associative memory for face recognition," IEEE Trans. Neural Netw., vol. 16, no. 1, pp. 275-278, Jan. 2005.
16. T. Ojala, M. Pietikainen, and T. Maenpaa, "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 7, pp. 971-987, Jul. 2002.
17. B. Gunturk, A. Batur, Y. Altunbasak, M. Hayes, and R. Mersereau, "Eigenface-domain super-resolution for face recognition," IEEE Trans. Image Process., vol. 12, no. 5, pp. 597-606, May 2003.
18. S.-W. Lee, J. Park, and S.-W. Lee, "Low resolution face recognition based on support vector data description," Pattern Recognit., vol. 39, no. 9, pp. 1809-1812, Sep. 2006.
19. O. Arandjelovic and R. Cipollam, "A manifold approach to face recognition from low quality video across illumination and pose using implicit super-resolution," in Proc. IEEE Int. Conf. Comput. Vis., Rio de Janeiro, Brazil, Oct. 2007, pp. 1-8.
20. A. Burton, S. Wilson, M. Cowan, and V. Bruce, "Face recognition in poor-quality video: Evidence from security surveillance," Psychol. Sci., vol. 10, no. 3, pp. 243-247, 1999.
21. Y. Zhuang, J. Zhang, and F. Wu, "Hallucinating faces: LPH superresolution and neighbor reconstruction for residue compensation," Pattern Recognit., vol. 40, no. 11, pp. 3178-3194, Nov. 2007.
22. B. Li, H. Chang, S. Shan, and X. Chen, "Low-resolution face recognition via coupled locality preserving mappings," IEEE Signal Process.Lett., vol. 17, no. 1, pp. 20-23, Jan. 2010.
23. P. Hennings-Yeomans, S. Baker, and B. Kumar, "Simultaneous superresolution and feature extraction for recognition of low resolution faces," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Anchorage, AK, Jun. 2008, pp. 1-8.
24. K. Jia and S. Gong, "Generalized face super-resolution," IEEE Trans. Image Process., vol. 17, no. 6, pp. 873-886, Jun. 2008.
25. M. Buhmann, "Radial basis functions," Acta Numer., vol. 9, pp. 1-38, Mar. 2001.
26. J. Goldberger, S. Roweis, G. Hinton, and R. Salakhutdinov, "Neighbourhood components analysis," in Advances in Neural Information Processing Systems, Cambridge, MA: MIT Press, 2004, pp. 513-520.
27. D. Masip and J. Vitria, "Shared feature extraction for nearest neighbor face recognition," IEEE Trans. Neural Netw., vol. 19, no. 4, pp. 586-595, Apr. 2008.
28. R. Salakhutdinov, "Learning deep generative models," Ph.D. dissertation, Graduate Dept. Comput. Sci., Univ. Toronto, Toronto, ON, Canada, 2009.
29. H. Chang, D.-Y. Yeung, and Y. Xiong, "Super-resolution through neighbor embedding," in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit., vol. 1. Washington D.C., Jun.-Jul. 2004, pp. 275-282.
30. H. Huang, H. He, X. Fan, and J. Zhang, "Super-resolution of human face image using canonical correlation analysis," Pattern Recognit., vol. 43, no. 7, pp. 2532-2543, Jul. 2010.
31. P. Phillips, H. Wechsler, J. Huang, and P. Rauss, "The FERET database and evaluation procedure for face recognition algorithms," Image Vis. Comput., vol. 16, no. 5, pp. 295-306, Apr. 1998.
32. P. Phillips, H. Moon, S. Rizvi, and P. Rauss, "The FERET evaluation methodology for face recognition algorithms," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 10, pp. 1090-1104, Oct. 2000.
33. The UMIST Face Database [Online]. Available: http://www.shef.ac. uk/eee/research/vie/research/face.html
34. The ORL Face Database [Online]. Available: http://www.cl.cam.ac. uk/research/dtg/attarchive/facedatabase.html
35. M. Turk and A. Pentland, "Eigenfaces for recognition," J. Cognitive Neurosci., vol. 3, no. 1, pp. 71-86, 1991.
36. F. Lin, J. Cook, V. Chandran, and S. Sridharan, "Face recognition from super-resolved images," in Proc. 8th Int. Symp. Signal Process. Appl., vol. 2. Sydney, NSW, Australia, Aug. 2005, pp. 667-670.
37. M. Al-Azzeh, A. Eleyan, and H. Demirel, "PCA-based face recognition from video using super-resolution," in Proc. 23rd Int. Symp. Comput. Inform. Sci., Istanbul, Turkey, Oct. 2008, pp. 1-4.
38. S. Zhou, V. Krueger, and R. Chellappa, "Probabilistic recognition of human faces from video," Comput. Vis. Image Understanding, vol. 91, nos. 1-2, pp. 214-245, Jul.-Aug. 2003.
39. K. Jia and S. Gong, "Multi-modal tensor face for simultaneous superresolution and recognition," in Proc. IEEE Int. Conf. Comput. Vis., vol. 2. Beijing, China, Oct. 2005, pp. 1683-1690.
40. H. Hotelling, "Relations between two sets of variates," Biometrika, vol. 28, nos. 3-4, pp. 321-377, 1936.
41. P. L. Lai and C. Fyfe, "Kernel and nonlinear canonical correlation analysis," Int. J. Neural Syst., vol. 10, no. 5, pp. 365-377, Oct. 2000.
42. T.-K. Kim, S.-F. Wong, and R. Cipolla, "Tensor canonical correlation analysis for action classification," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Minneapolis, MN, Jun. 2007, pp. 1-8.
43. L. Sun, S. Ji, and J. Ye, "A least squares formulation for canonical correlation analysis," in Proc. 25th Int. Conf. Mach. Learn., Helsinki, Finland, Jul. 2008, pp. 1024-1031.
44. W. Zheng, X. Zhou, C. Zou, and L. Zhao, "Facial expression recognition using kernel canonical correlation analysis (KCCA)," IEEE Trans. Neural Netw., vol. 17, no. 1, pp. 233-238, Jan. 2006.
45. M. Borga, "Learning multidimensional signal processing," Ph.D. dissertation, Dept. Electr. Eng., Linköping Univ., Sweden, 1998.
46. D. Broomhead and D. Lowe, "Radial basis functions, multi-variable functional interpolation and adaptive networks," Complex Syst., vol. 2, pp. 321-355, Mar. 1988.
47. R. Schaback, "Multivariate interpolation by polynomials and radial basis functions," Constructive Approx., vol. 21, no. 3, pp. 293-317, 2005.
48. S. Chen, C. Cowan, P. Grant et al., "Orthogonal least squares learning algorithm for radial basis function networks," IEEE Trans. Neural Netw., vol. 2, no. 2, pp. 302-309, Mar. 1991.
49. B. Scholkopf, K. Sung, C. Burges, F. Girosi, P. Niyogi, T. Poggio, and V. Vapnik, "Comparing support vector machines with Gaussian kernels to radial basis function classifiers," IEEE Trans. Signal Process., vol. 45, no. 11, pp. 2758-2765, Nov. 1997.
50. B. Le Roux and H. Rouanet, Geometric Data Analysis. New York: Springer-Verlag, 2004.
51. M. Samozino, M. Alexa, P. Alliez, and M. Yvinec, "Reconstruction with Voronoi centered radial basis functions," in Proc. Symp. Geometry Process., Cagliari, Sardinia, Italy, Jun. 2006, pp. 51-60.
52. J. Moody and C. Darken, "Fast learning in networks of locally-tuned processing units," Neural Comput., vol. 1, no. 2, pp. 281-294, 1989.
53. M. Er, S. Wu, J. Lu, and H. Toh, "Face recognition with radial basis function (RBF) neural networks," IEEE Trans. Neural Netw., vol. 13, no. 3, pp. 697-710, May 2002.
54. S. Roweis and L. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol. 290, no. 5500, pp. 2323-2326, Dec. 2000.
55. L. K. Saul and S. T. Roweis, "Think globally, fit locally: Unsupervised learning of low dimensional manifolds," J. Mach. Learn. Res., vol. 4, pp. 119-155, Dec. 2004.
56. M. Borga. (2001), Canonical Correlation a Tutorial [Online]. Available: http://people.imt.liu.se/magnus/cca
57. C. M. Bishop, Pattern Recognition and Machine Learning. New York: Springer-Verlag, 2006.
58. M. J. Er, W. Chen, and S. Wu, "High-speed face recognition based on discrete cosine transform and RBF neural networks," IEEE Trans. Neural Netw., vol. 16, no. 3, pp. 679-691, May 2005.