Tom-vs-Pete classifiers and identity-preserving alignment for face verification

BMVC 2012 - Electronic Proceedings of the British Machine Vision Conference 2012

Volumn , Issue , 2012, Pages

  Berg, Thomas ^a   Belhumeur, Peter N ^a  

^a Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FACE VERIFICATION; REFERENCE SET; STATE OF THE ART; TWO WAYS;

COMPUTER VISION;

EID: 84898492220     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.26.129     Document Type: Conference Paper

References (35)

1. S. Arca, P. Campadelli, and R. Lanzarotti. A face recognition system based on automatically determined facial fiducial points. Pattern Recognition, March 2006.
2. A. Asthana, M. J. Jones, T. K. Marks, K. H. Tieu, and R. Goecke. Pose normalization via learned 2d warping for fully automatic face recognition. In BMVC, 2011.
3. A. Asthana, T. K. Marks, M. J. Jones, K. H. Tieu, and M. V. Rohith. Fully automatic pose-invariant face recognition via 3d pose normalization. In ICCV, 2011.
4. P. N. Belhumeur, D. W. Jacobs, D. J. Kriegman, and N. Kumar. Localizing parts of faces using a consensus of exemplars. In CVPR, 2011.
5. V. Blanz and T. Vetter. Face recognition based on fitting a 3d morphable model. PAMI, September 2003.
6. T. F. Cootes, K.Walker, and C. J. Taylor. View-based active appearance models. In Proceedings of the IEEE Conference on Automatic Face and Gesture Recognition, 2000.
7. G. Edwards, C. J. Taylor, and T. F. Cootes. Interpreting face images using active appearnce models. In Proceedings of the IEEE Conference on Automatic Face and Gesture Recognition, 1998.
8. M. Everingham, J. Sivic, and A. Zisserman. "Hello! My name is... Buffy" - Automatic naming of characters in TV video. In BMVC, 2006.
9. R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin. LIBLINEAR: A library for large linear classification. Journal of Machine Learning Research, 9, 2008.
10. Y. Freund and R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, August 1997.
11. L. Gu and T. Kanade. A generative shape regularization model for robust face alignment. In ECCV, 2008.
12. M. Guillaumin, J. Verbeek, and C. Schmid. Is that you? metric learning approaches for face identification. In ICCV, 2009.
13. I. Guyon and A. Elisseeff. An introduction to variable and feature selection. Journal of Machine Learning Research, March 2003.
14. C. Huang, S. Zhu, and K. Yu. Large scale strongly supervised ensemble metric learning, with applications to face verification and retrieval. Technical report, NEC, 2011.
15. G. B. Huang, V. Jain, and E. Learned-Miller. Unsupervised joint alignment of complex images. In ICCV, 2007.
16. 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, University of Massachusetts, Amherst, 2007.
17. G. B. Huang, M. J. Jones, and E. G. Learned-Miller. LFW Results Using a Combined Nowak Plus MERL Recognizer. In Proceedings of the Faces in Real Life Images workshop at ECCV, 2008.
18. N. Kumar, A. C. Berg, P. N. Belhumeur, and S. K. Nayar. Attribute and simile classifiers for face verification. In ICCV, 2009.
19. N. Kumar, A. C. Berg, P. N. Belhumeur, and S. K. Nayar. Describable visual attributes for face verification and image search. PAMI, October 2011.
20. E. G. Learned-Miller. Data driven image models through continuous joint alignment. PAMI, February 2006.
21. D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, November 2004.
22. H. Motoda and H. Liu, editors. Computational Methods of Feature Selection. Chapman and Hall/CRC, 2007.
23. H. V. Nguyen and L. Bai. Cosine similarity metric learning for face verification. In Proceedings of the Asian Conference on Computer Vision (ACCV), 2011.
24. Omron. OKAO vision. http://www.omron.com/r-d/coretech/vision/okao.html.
25. N. Pinto and D. D. Cox. Beyond Simple Features: A Large-Scale Feature Search Approach to Unconstrained Face Recognition. In Proceedings of the IEEE Conference on Automatic Face and Gesture Recognition, 2011.
26. N. Pinto, J. J. DiCarlo, and D. D. Cox. How far can you get with a modern face recognition test set using only simple features? In CVPR, 2009.
27. N. Pinto, Z. Stone, T. Zickler, and D. D. Cox. Scaling-up biologically-inspired computer vision: A case-study on facebook. In Proceedings of the Workshop on Biologically Consistent Vision at the IEEE Conference on Computer Vision and Pattern Recognition, 2011.
28. H. J. Seo and P. Milanfar. Face verification using the lark representation. IEEE Transactions on Information Forensics and Security, December 2011.
29. Y. Taigman, L. Wolf, and T. Hassner. Multiple one-shots for utilizing class label information. In BMVC, 2009.
30. University of Massachusetts. LFW web site. http://vis-www.cs.umass.edu/ lfw/.
31. P. Wang, L. C. Tran, and Q. Ji. Improving face recognition by online image alignment. In Proceedings of the International Conference on Pattern Recognition, 2006.
32. L. Wolf, T. Hassner, and Y. Taigman. Descriptor based methods in the wild. In Proceedings of the Faces in Real Life Images workshop at ECCV, 2008.
33. L. Wolf, T. Hassner, and Y. Taigman. Similarity scores based on background samples. In Proceedings of the Asian Conference on Computer Vision, 2009.
34. Q. Yin, X. Tang, and J. Sun. An associate-predict model for face recognition. In CVPR, 2011.
35. Y. Ying and P. Li. Distance metric learning with eigenvalue optimization. Journal of Machine Learning Research, March 2012.