Learning discriminant face descriptor for face recognition

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

Volumn 7725 LNCS, Issue PART 2, 2013, Pages 748-759

  Lei, Zhen ^a   Li, Stan Z ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CRITICAL ISSUES; DISCRIMINATIVE ABILITY; FACE DATABASE; FACE DESCRIPTOR; FACE RECOGNITION PERFORMANCE; FACE REPRESENTATIONS; IMAGE FILTERS; OPTIMAL WEIGHT;

OPTIMIZATION;

FACE RECOGNITION;

EID: 84875890735     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37444-9_58     Document Type: Conference Paper

References (30)

1. Zhao, W., Chellappa, R., Phillips, P., Rosenfeld, A.: Face recognition: A literature survey. ACM Computing Surveys, 399-458 (2003)
2. Li, S.Z., Jain, A.K. (eds.): Handbook of Face Recognition. Springer, New York (2005)
3. Turk, M.A., Pentland, A.P.: Face recognition using eigenfaces. In: CVPR, Hawaii, pp. 586-591 (1991)
4. Belhumeur, P.N., Hespanha, J.P., Kriegman, D.J.: Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection. IEEE T-PAMI 19, 711-720 (1997)
5. Comon, P.: Independent component analysis - a new concept? Signal Processing 36, 287-314 (1994)
6. Liu, C., Wechsler, H.: Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition. IEEE T-IP 11, 467-476 (2002)
7. Lei, Z., Li, S.Z., Chu, R., Zhu, X.: Face Recognition with Local Gabor Textons. In: Lee, S.-W., Li, S.Z. (eds.) ICB 2007. LNCS, vol. 4642, pp. 49-57. Springer, Heidelberg (2007)
8. Ahonen, T., Hadid, A., Pietikainen, M.: Face description with local binary patterns: application to face recognition. IEEE T-PAMI 28, 2037-2041 (2006)
9. Zhang, W., Shan, S., Gao, W., Zhang, H.: Local gabor binary pattern histogram sequence (lgbphs): a novel non-statistical model for face representation and recognition. In: ICCV, pp. 786-791 (2005)
10. Zhang, B., Shan, S., Chen, X., Gao, W.: Histogram of gabor phase patterns (hgpp): A novel object representation approach for face recognition. IEEE T-IP 16, 57-68 (2007)
11. Lei, Z., Liao, S., Pietikäinen, M., Li, S.Z.: Face recognition by exploring information jointly in space, scale and orientation. IEEE T-IP 20, 247-256 (2011)
12. Liao, S., Zhu, X., Lei, Z., Zhang, L., Li, S.Z.: Learning Multi-scale Block Local Binary Patterns for Face Recognition. In: Lee, S.-W., Li, S.Z. (eds.) ICB 2007. LNCS, vol. 4642, pp. 828-837. Springer, Heidelberg (2007)
13. Maturana, D., Mery, D., Soto, A.: Learning discriminative local binary patterns for face recognition. In: FG, pp. 470-475 (2011)
14. Cao, Z., Yin, Q., Tang, X., Sun, J.: Face recognition with learning-based descriptor. In: CVPR, pp. 2707-2714 (2010)
15. Guo, Y., Zhao, G., Pietikäinen, M., Xu, Z.: Descriptor Learning Based on Fisher Separation Criterion for Texture Classification. In: Kimmel, R., Klette, R., Sugimoto, A. (eds.) ACCV 2010, Part III. LNCS, vol. 6494, pp. 185-198. Springer, Heidelberg (2011)
16. Maturana, D., Mery, D., Soto, Á.: Face Recognition with Decision Tree-Based Local Binary Patterns. In: Kimmel, R., Klette, R., Sugimoto, A. (eds.) ACCV 2010, Part IV. LNCS, vol. 6495, pp. 618-629. Springer, Heidelberg (2011)
17. Lei, Z., Yi, D., Li, S.Z.: Discriminant image filter learning for face recognition with local binary pattern like representation. In: CVPR, pp. 2512-2517 (2012)
18. Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. John Wiley and Sons (2001)
19. Ye, J., Janardan, R., Li, Q.: Two-dimensional linear discriminant analysis. In: NIPS (2004)
20. Yang, P., Shan, S., Gao, W., Li, S.Z., Zhang, D.: Face recognition using ada-boosted gabor features. In: FG, Seoul, Korea (2004)
21. Phillips, P.J., Moon, H., Rizvi, S.A., Rauss, P.J.: The FERET evaluation methodology for face-recognition algorithms. IEEE T-PAMI 22, 1090-1104 (2000)
22. Gao, W., Cao, B., Shan, S., Chen, X., Zhou, D., Zhang, X., Zhao, D.: The CASPEAL large-scale Chinese face database and baseline evaluation. IEEE Transactions on Systems, Man and Cybernetics (Part A) 38, 149-161 (2008)
23. Huang, G.B., Ramesh, M., Berg, T., Learned-Miller, E.: Labeled faces in the wild: A database for studying face recognition in unconstrained environments. Technical Report 07-49, University of Massachusetts, Amherst (2007)
24. Wolf, L., Hassner, T., Taigman, Y.: Similarity Scores Based on Background Samples. In: Zha, H., Taniguchi, R.-i., Maybank, S. (eds.) ACCV 2009, Part II. LNCS, vol. 5995, pp. 88-97. Springer, Heidelberg (2010)
25. Tan, X., Triggs, B.: Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions. In: Zhou, S.K., Zhao, W., Tang, X., Gong, S. (eds.) AMFG 2007. LNCS, vol. 4778, pp. 168-182. Springer, Heidelberg (2007)
26. Meng, X., Shan, S., Chen, X., Gao, W.: Local visual primitives (lvp) for face modelling and recognition. In: ICPR (2006)
27. Xie, S., Shan, S., Chen, X., Meng, X., Gao, W.: Learned local gabor patterns for face representation and recognition. Signal Processing 89, 2333-2344 (2009)
28. Vu, N.-S., Caplier, A.: Face Recognition with Patterns of Oriented Edge Magnitudes. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part I. LNCS, vol. 6311, pp. 313-326. Springer, Heidelberg (2010)
29. Guillaumin, M., Verbeek, J.J., Schmid, C.: Is that you? metric learning approaches for face identification. In: ICCV, pp. 498-505 (2009)
30. Seo, H.J., Milanfar, P.: Face verification using the lark representation. IEEE TIFS 6, 1275-1286 (2011)