Probabilistic elastic matching for pose variant face verification

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2013, Pages 3499-3506

  Li, Haoxiang ^a   Hua, Gang ^a   Lin, Zhe ^b   Brandt, Jonathan ^b   Yang, Jianchao ^b  

^a STEVENS INSTITUTE OF TECHNOLOGY   (United States)

^b ADOBE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN ADAPTATION; DIFFERENCE VECTORS; ELASTIC MATCHING; FACE VERIFICATION; GAUSSIAN COMPONENTS; GAUSSIAN MIXTURE MODEL; MIXTURE COMPONENTS; PART-BASED REPRESENTATION;

COMPUTER SCIENCE; ELECTRICAL ENGINEERING; PATTERN RECOGNITION; SOFTWARE ENGINEERING;

FACE RECOGNITION;

EID: 84887343113     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.449     Document Type: Conference Paper

References (34)

1. T. Ahonen, A. Hadid, and M. Pietikainen. Face recognition with local binary patterns. In ECCV, 2004.
2. P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman. Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection. T-PAMI, 1997.
3. T. Berg and P. Belhumeur. Tom-vs-pete classifiers and identity-preserving alignment for face verification. In BMVC, 2012.
4. X. Cao, Y. Wei, F. Wen, and J. Sun. Face alignment by explicit shape regression. In CVPR, 2012.
5. Z. Cao, Q. Yin, X. Tang, and J. Sun. Face recognition with learning-based descriptor. In CVPR, 2010.
6. C.-C. Chang and C.-J. Lin. LIBSVM: A library for support vector machines. ACM T-IST, 2011.
7. D. Chen, X. Cao, L. Wang, F. Wen, and J. Sun. Bayesian face revisited: A joint formulation. In ECCV, 2012.
8. D. Cox and N. Pinto. Beyond simple features: A large-scale feature search approach to unconstrained face recognition. In FGR, 2011.
9. M. Dixit, N. Rasiwasia, and N. Vasconcelos. Adapted gaussian models for image classification. In CVPR, 2011.
10. J.-L. Gauvain and C.-H. Lee. Maximum a posteriori estimation for multivariate gaussian mixture observations of markov chains. T-SAP, 1994.
11. A. S. Georghiades, P. N. Belhumeur, and D. J. Kriegman. From few to many: Illumination cone models for face recognition under variable lighting and pose. T-PAMI, 2001.
12. R. Gross, J. Yang, and A. Waibel. Growing gaussian mixture models for pose invariant face recognition. ICPR, 2000.
13. T. Hasan and J. Hansen. A study on universal background model training in speaker verification. Audio, Speech, and Language Processing, IEEE Transactions on, 2011.
14. G. Hua and A. Akbarzadeh. A robust elastic and partial matching metric for face recognition. In ICCV, 2009.
15. G. Huang, V. Jain, and E. Learned-Miller. Unsupervised joint alignment of complex images. In ICCV, 2007.
16. G. B. Huang, M. Mattar, T. Berg, and E. Learned-Miller. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments. In Faces in Real-Life Images Workshop in ECCV, 2008.
17. V. Jain, A. Ferencz, and E. Learned-miller. Discriminative training of hyper-feature models for object. BMVC 18 2006 357-366.
18. N. Kumar, A. Berg, P. N. Belhumeur, and S. Nayar. Describable visual attributes for face verification and image search. T-PAMI, 2011.
19. D. G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 2004.
20. E. Nowak and F. Jurie. Learning visual similarity measures for comparing never seen objects. In CVPR, 2007.
21. 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.
22. M. A. Turk and A. P. Pentland. Face recognition using eigenfaces. In CVPR, 1991.
23. A. Vedaldi and B. Fulkerson. Vlfeat: an open and portable library of computer vision algorithms. In ACM Multimedia, 2010.
24. P. Viola and M. J. Jones. Robust real-time face detection. IJCV, 2004.
25. F. Wang and L. J. Guibas. Supervised earth mover's distance learning and its computer vision applications. In ECCV, 2012.
26. X. Wang and X. Tang. Bayesian face recognition based on gaussian mixture models. In ICPR, 2004.
27. L. Wolf, T. Hassner, and I. Maoz. Face recognition in unconstrained videos with matched background similarity. In CVPR, 2011.
28. L. Wolf, T. Hassner, and Y. Taigman. Descriptor based methods in the wild. In Faces in Real-Life Images Workshop in ECCV, 2008.
29. L. Wolf, T. Hassner, and Y. Taigman. Effective unconstrained face recognition by combining multiple descriptors and learned background statistics. T-PAMI, 2011.
30. J. Wright and G. Hua. Implicit elastic matching with randomized projections for pose-variant face recognition. In CVPR, 2009.
31. S. Yan, M. Liu, and T. Huang. Extracting age information from local spatially flexible patches. In ICASSP, 2008.
32. S. Yan, X. Zhou, M. Liu, M. Hasegawa-Johnson, and T. Huang. Regression from patch-kernel. In CVPR, 2008.
33. Q. Yin, X. Tang, and J. Sun. An associate-predict model for face recognition. In CVPR, 2011.
34. X. Zhou, N. Cui, Z. Li, F. Liang, and T. Huang. Hierarchical gaussianization for image classification. In ICCV, 2009.