Face verification using large feature sets and one shot similarity

2011 International Joint Conference on Biometrics, IJCB 2011

Volumn , Issue , 2011, Pages

  Guo, Huimin ^a   Schwartz, William Robson ^b   Davis, Larry S ^a  

^a University of Maryland   (United States)

^b UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; COLOR INFORMATION; DESCRIPTORS; DISCRIMINATIVE MODELS; FACE IMAGES; FACE VERIFICATION; FEATURE SETS; FEATURE VECTORS; FEATURE WEIGHTING; GENERALIZATION ABILITY; IMAGE PAIRS; MULTI-CHANNEL; ONE-SHOT LEARNING; PARTIAL LEAST SQUARES; PLS REGRESSION; SHOT SIMILARITY; SIMILARITY MODELS; SIMILARITY SCORES; STATE-OF-THE-ART METHODS;

BIOMETRICS;

LEAST SQUARES APPROXIMATIONS;

EID: 84856112415     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCB.2011.6117498     Document Type: Conference Paper

References (30)

1. T. Ahonen, A. Hadid, and M. Pietikainen. Face recognition with local binary patterns. In ECCV'04, 35, pages 469-481, 2004.
2. Z. Cao, Q. Yin, X. Tang, and J. Sun. Face recognition with learning-based descriptor. In CVPR'lO, pages 2707-2714, 2010.
3. N. Dalal and B. Triggs. Histograms of Oriented Gradients for Human Detection. In CVPR'05, pages 886-893, 2005. (Pubitemid 43897286)
4. L. Elden. Partial least-squares vs. Lanczos bidiagonalization-I: analysis of a projection method for multiple regression. Computational Statistics & Data Analysis, 46(1):11-31, 2004. (Pubitemid 38572624)
5. M. Guillaumin, 1. Verbeek, and C. Schmid. Is that you? metric learning approaches for face identification. In ICCV'09, pages 498-505, 2009.
6. G. Hua and A. Akbarzadeh. A Robust Elastic and Partial Matching Metric for Face Recognition. In International Conference on Computer Vision (ICCV), 2009.
7. G. B. Huang, M. J. Jones, and E. Learned Miller. LFW Results Using a Combined Nowak Plus MERL Recognizer. In Workshop on Faces in 'Real-Life' Images: Detection, Alignment, and Recognition, Marseille France, 2008.
8. G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller. Labeled faces in the wild: A database for studying face recognition in unconstrained environments. Technical Report 07-49, University of Massachusetts, Amherst, October 2007.
9. G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller. Labeled faces in the wild: A database for studying face recognition in unconstrained environments. Technical Report 07-49, University of Massachusetts, Amherst, October 2007.
10. N. Kumar, A. C. Berg, P. N. Belhumeur, and S. K. Nayar. Attribute and simile classifiers for face verification. In ICCV'09,2009.
11. H. V. Nguyen and L. Bai. Cosine Similarity Metric Learning for Face Verification. In ACCV . LNCS, 2010.
12. E. Nowak. Learning visual similarity measures for comparing never seen objects. In Proc. IEEE CVPR, 2007.
13. N. Pinto, J. DiCarlo, and D. Cox. How far can you get with a modern face recognition test set using only simple features? In CVPR'09, volume 0, pages 2591-2598, Los Alamitos, CA, USA, 2009.
14. R. Rosipal and N. Kramer. Overview and recent advances in partial least squares. Lecture Notes in Computer Science, 3940:34-51,2006. (Pubitemid 44029878)
15. J. Ruiz-del Solar, R. Verschae, and M. Correa. Recognition of faces in unconstrained environments: a comparative study. EURASiP J. Adv. Signal Process, 2009:1:1-1:19, January 2009.
16. c. Sanderson and B. C. Lovell. Multi-region probabilistic histograms for robust and scalable identity inference. In Proceedings of the Third International Conference on Advances in Biometrics, ICB '09, pages 199-208, Berlin, Heidelberg, 2009. Springer-Verlag.
17. W. R. Schwartz, H. Guo, and L. Davis. A robust and scalable approach to face identification. In ECCV'1O, volume 5, pages 476-489, Sept. 2010.
18. W. R. Schwartz, A. Kembhavi, D. Harwood, and L. S. Davis. Human detection using partial least squares analysis. In ICCV'09,2009.
19. A. Sharma and D. Jacobs. PIs based multi-modal face recognition. In CVPR'll, 2011.
20. K. Strimmer, A. laure Boulesteix, and A. laure Boulesteix. Partial least squares: A versatile tool for the analysis of highdimensional genomic data. In Briefings in Bioinformatics, pages 32-44, 2007. (Pubitemid 46157928)
21. Y. Taigman, L. Wolf, and T. Hassner. Multiple one-shots for utilizing class label information. In British Machine Vision Conference (BMVC), 2009.
22. X. Tan and B. Triggs. Fusing Gabor and LBP feature sets for kernel-based face recognition. In AMFG '07, pages 235-249, 2007.
23. A. Tolba, A. EI-Baz, and A. EI-Harby. Face recognition: A literature review. i nternational Journal of Signa I Processing, 2:88-103,2006.
24. M. A. Turk and A. P. Pentland. Face recognition using eigenfaces. In Proceedings. 1991 1EEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 586-591. IEEE Comput. Sco. Press, 1991.
25. N.-S. Vu and A. Caplier. Face recognition with patterns of oriented edge magnitudes. In Proceedings of the 11th European conference on Computer vision: Part I, ECCV'lO, pages 313-326,2010.
26. H. Wold. Partial least squares. In S. Kotz and N. Johnson, editors, Encyclopedia of Statistical Sciences, volume 6, pages 581-591. Wiley, New York, 1985.
27. L. Wolf, T. Hassner, and Y. Taigman. Y. : Descriptor based methods in the wild. In Faces in Real-Life Images Workshop in ECCV. (2008), 2008.
28. L. Wolf, T. Hassner, and Y. Taigman. The one-shot similarity kernel. In ICCV'09, Sept. 2009.
29. L. Wolf, T. Hassner, and Y. Taigman. Similarity scores based on background samples. In ACCV'09, 2009.
30. W. Zhao, R. Chellappa, P. 1. Phillips, and A. Rosenfeld. Face recognition: A literature survey. ACM Comput. Surv. , 35(4):399-458,2003.