Robust feature set matching for partial face recognition

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2013, Pages 601-608

  Weng, Renliang ^a   Lu, Jiwen ^b   Hu, Junlin ^a   Yang, Gao ^a   Tan, Yap Peng ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b ADVANCED DIGITAL SCIENCES CENTER   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

PROBES;

FACE DATABASE; FACE RECOGNITION METHODS; ILLUMINATION CHANGES; LOCAL FEATURE; LOCAL FEATURE SETS; PARTIAL FACES; REAL-WORLD SCENARIO; ROBUST POINT MATCHING;

FACE RECOGNITION;

EID: 84898785295     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.80     Document Type: Conference Paper

References (28)

1. M. S. Bartlett, J. R. Movellan, and T. J. Sejnowski. Face recognition by independent component analysis. Neural Networks, IEEE Transactions on, 2002.
2. H. Bay, T. Tuytelaars, and L. Van Gool. Surf: Speeded up robust features. ECCV, 2006.
3. P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman. Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. PAMI, 1997.
4. F. L. Bookstein. Principal warps: Thin-plate splines and the decomposition of deformations. PAMI, 1989.
5. W. Chen and Y. Gao. Recognizing partially occluded faces from a single sample per class using string-based matching. In ECCV. 2010.
6. H. Chui and A. Rangarajan. A new point matching algorithm for non-rigid registration. CVIU, 2003.
7. D. Conte, P. Foggia, C. Sansone, and M. Vento. Thirty years of graph matching in pattern recognition. PAMI, 2004.
8. T. F. Cootes, G. J. Edwards, and C. J. Taylor. Active appearance models. PAMI, 2001.
9. E. Elhamifar and R. Vidal. Robust classification using structured sparse representation. In CVPR, 2011.
10. A. Georghiades, P. Belhumeur, and D. Kriegman. From few to many: Illumination cone models for face recognition under variable lighting and pose. PAMI, 2001.
11. 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, 2007.
12. D. P. Huttenlocher, G. A. Klanderman, and W. J. Rucklidge. Comparing images using the hausdorff distance. PAMI, 1993.
13. K. Jia, T.-H. Chan, and Y. Ma. Robust and practical face recognition via structured sparsity. In ECCV. 2012.
14. L. Juan and O. Gwun. A comparison of sift, pca-sift and surf. International Journal of Image Processing, 2009.
15. S. Liao and A. K. Jain. Partial face recognition: An alignment free approach. In IJCB, 2011.
16. Y. Liu, F. Wu, Z. Zhang, Y. Zhuang, and S. Yan. Sparse representation using nonnegative curds and whey. In CVPR, 2010.
17. D. G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 2004.
18. J. Lu, Y.-P. Tan, and G.Wang. Discriminative multimanifold analysis for face recognition from a single training sample per person. PAMI, 2013.
19. M. Martinez and R. Benavente. The AR face database, 1998.
20. Y. Rubner, C. Tomasi, and L. J. Guibas. The earth mover's distance as a metric for image retrieval. IJCV, 2000.
21. Y. Tang, R. Salakhutdinov, and G. Hinton. Robust boltzmann machines for recognition and denoising. In CVPR, 2012.
22. M. A. Turk and A. P. Pentland. Face recognition using eigenfaces. In CVPR, 1991.
23. K. Q.Weinberger, J. Blitzer, and L. K. Saul. Distance metric learning for large margin nearest neighbor classification. In NIPS, 2006.
24. L. Wiskott, J.-M. Fellous, N. Kuiger, and C. von der Malsburg. Face recognition by elastic bunch graph matching. PAMI, 1997.
25. J. Wright, A. Y. Yang, A. Ganesh, S. S. Sastry, and Y. Ma. Robust face recognition via sparse representation. PAMI, 2009.
26. E. P. Xing, A. Y. Ng, M. I. Jordan, and S. Russell. Distance metric learning, with application to clustering with side-information. NIPS, 2002.
27. S. Yan, D. Xu, B. Zhang, H.-J. Zhang, Q. Yang, and S. Lin. Graph embedding and extensions: a general framework for dimensionality reduction. PAMI, 2007.
28. L. Zhang, M. Yang, and X. Feng. Sparse representation or collaborative representation: Which helps face recognition? In ICCV, 2011.