Coupled metric learning for face recognition with degraded images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5828 LNAI, Issue , 2009, Pages 220-233

  Li, Bo ^a   Chang, Hong ^b,c   Shan, Shiguang ^b,c   Chen, Xilin ^b,c  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^c INSTITUTE OF COMPUTING TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLOSED FORM SOLUTIONS; DEGRADED IMAGES; FACE IMAGES; FACE RECOGNITION SYSTEMS; IMAGE RESTORATION; METRIC LEARNING; OPTIMIZATION PROBLEMS; PRE-PROCESSING OPERATIONS; REAL-WORLD; TRAINING SETS; TWO STEP METHOD;

COMPUTATIONAL COMPLEXITY; EDUCATION; FEATURE EXTRACTION; IMAGE RECONSTRUCTION; PROBLEM SOLVING; RESTORATION; ROBOT LEARNING;

FACE RECOGNITION;

EID: 70649089318     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-05224-8_18     Document Type: Conference Paper

References (29)

1. Zhao, W., Chellappa, R., Rosenfeld, A., Phillips, P.: Face recognition: a literature survey. ACM Computing Surveys, 399-458 (2003)
2. Baker, S., Kanade, T.: Limits on super-resolution and how to break them. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(9), 1167-1183 (2002)
3. Biemond, J., Lagendijk, R., Mersereau, R.: Iterative methods for image deblurring. Proceedings of the IEEE 78(5), 856-883 (1990)
4. Chang, H., Yeung, D., Xiong, Y.: Super-resolution through neighbor embedding. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 275-282 (2004)
5. Fergus, R., Singh, B., Hertzmann, A., Roweis, S., Freeman, W.: Removing camera shake from a single photograph. ACM Transactions on Graphics 25(3), 784-794 (2006)
6. Freeman, B., Pasztor, E., Carmichael, O.: Learning low-level vision. International Journal of Computer Vision 40(1), 25-47 (2000)
7. Capel, D., Zisserman, A.: Super-resolution from multiple views using learnt image models. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 627-634 (2001)
8. Chen, J., Yuan, L., Tang, C., Quan, L.: Robust dual motion deblurring. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1-8 (2008)
9. Elad, M., Feuer, A.: Super-resolution reconstruction of image sequences. IEEE Transactions on Pattern Analysis and Machine Intelligence 21(9), 817-834 (1999)
10. Yang, J., Wright, J., Huang, T., Ma, Y.: Image super-resolution as sparse representation of raw patches. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2008)
11. Baker, S., Kanade, T.: Hallucinating faces. Automatic Face and Gesture Recognition (2000)
12. Liu, C., Shum, H., Zhang, C.: A two-step approach to hallucinating faces: global parametric model and local nonparametric model. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 192-198 (2001)
13. Gunturk, B., Batur, A., Altunbasak, Y., Hayes, M., Mersereau, R.: Eigenface-domain superresolution for face recognition. IEEE Transactions on Image Processing 12(5), 597-606 (2003)
14. Jia, K., Gong, S.: Multi-modal tensor face for simultaneous super-resolution. In: Proceedings of the Tenth IEEE International Conference on Computer Vision, pp. 1683-1690 (2005)
15. Hennings-Yeomans, P., Baker, S., Kumar, B.: Simultaneous super-resolution and feature extraction for recognition of low-resolution faces. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1-8 (2008)
16. Domeniconi, C., Peng, J., Gunopulos, D.: Locally adaptive metric nearest-neighbor classification. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(9), 1281-1285 (2002)
17. Frome, A., Singer, Y., Sha, F., Malik, J.: Learning globally-consistent local distance functions for shape based image retrieval and classification. In: Proceedings of the Eleventh IEEE International Conference on Computer Vision (2007)
18. Goldberger, J., Roweis, S., Hinton, G., Salakhutdinov, R.: Neighbourhood component analysis. In: Advances in Neural Information Processing Systems 17, pp. 513-520 (2005)
19. Weinberger, K., Blitzer, J., Saul, L.: Distance metric learning for large margin nearest neighbor classification. In: Weiss, Y., Schölkopf, B., Platt, J. (eds.) Advances in Neural Information Processing Systems 18. MIT Press, Cambridge (2006)
20. Hotelling, H.: Relations between two sets of variates. Biometrika 28, 312-377 (1936)
21. Hardoon, D., Szedmak, S., Shawe-Taylor, J.: Canonical correlation analysis: an overview with application to learning methods. Neural Computation 16, 2639-2664 (2004)
22. Martinez, A., Benavente, R.: The AR face database. Technical report, CVC Tech. Report No. 24 (1998)
23. Zhang, Z.: Learning metrics via discriminant kernels and multidimensional scaling: toward expected euclidean representation. In: Proceedings of the Twentieth International Conference on Machine Learning, Washington, DC, USA (2003)
24. Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Prentice Hall, Englewood Cliffs (2002)
25. Lucy, L.B.: An iterative technique for the rectification of observed distributions. Astronomical Journal 79(6), 745-754 (1974)
26. Richardson, W.: Bayesian-based iterative method of image restoration. Journal of the Optical Society of America 62(1), 55-59 (1972)
27. Turk, M., Pentland, A.: Eigenfaces for recognition. Journal of Cognitive Neuroscience 3(1), 71-86 (1991)
28. Belhumeur, P., Hespanha, J., Kriegman, D.: Eigenfaces vs. Fisherfaces: recognition using class specific linear projection. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(7), 711-720 (1997)
29. Park, J., Oh, Y., Ahn, S., Lee, S.: Glasses removal from facial image using recursive error compensation. IEEE transactions on pattern analysis and machine intelligence 27(5), 805-811 (2005)