Image set-based collaborative representation for face recognition

IEEE Transactions on Information Forensics and Security

Volumn 9, Issue 7, 2014, Pages 1120-1132

  Zhu, Pengfei ^a   Zuo, Wangmeng ^b   Zhang, Lei ^a   Shiu, Simon Chi Keung ^a   Zhang, David ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Collaborative representation; face recognition; image set; set to sets distance

Indexed keywords

COMPUTER NETWORKS; SAFETY ENGINEERING;

CLASSIFICATION METHODS; COLLABORATIVE REPRESENTATIONS; COMMUNICATION TECHNOLOGIES; DIGITAL IMAGING; DISTANCE-BASED METHODS; FACE IMAGES; IMAGE SETS; SET TO SETS DISTANCE;

FACE RECOGNITION;

EID: 84903119456     PISSN: 15566013     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIFS.2014.2324277     Document Type: Article

References (57)

1. O. Yamaguchi, K. Fukui, and K.-I. Maeda, "Face recognition using temporal image sequence," in Proc. 3rd IEEE Conf. Autom. Face Gesture Recognit., Apr. 1998, pp. 318-323.
2. O. Arandjelovic, G. Shakhnarovich, J. Fisher, R. Cipolla, and T. Darrell, "Face recognition with image sets using manifold density divergence," in Proc. IEEE Conf. CVPR, Jun. 2005, pp. 581-588.
3. M. Nishiyama, M. Yuasa, T. Shibata, T. Wakasugi, T. Kawahara, and O. Yamaguchi, "Recognizing faces of moving people by hierarchical image-set matching," in Proc. IEEE Conf. CVPR, Jun. 2007, pp. 1-8.
4. R. Wang, S. Shan, X. Chen, and W. Gao, "Manifold-manifold distance with application to face recognition based on image set," in Proc. IEEE Conf. CVPR, Jun. 2008, pp. 1-8.
5. H. Cevikalp and B. Triggs, "Face recognition based on image sets," in Proc. IEEE Conf. CVPR, Jun. 2010, pp. 2567-2573.
6. N. Poh et al., "An evaluation of video-to-video face verification," IEEE Trans. Inf. Forensics Security, vol. 5, no. 4, pp. 781-801, Dec. 2010.
7. L. Wolf, T. Hassner, and I. Maoz, "Face recognition in unconstrained videos with matched background similarity," in Proc. IEEE Conf. CVPR, Jun. 2011, pp. 529-534.
8. Y. Hu, A. S. Mian, and R. Owens, "Sparse approximated nearest points for image set classification," in Proc. IEEE Conf. CVPR, Jun. 2011, pp. 121-128.
9. Z. Cui, S. Shan, H. Zhang, S. Lao, and X. Chen, "Image sets alignment for video-based face recognition," in Proc. IEEE Conf. CVPR, Jun. 2012, pp. 2626-2633.
10. Y.-C. Chen, V. M. Patel, P. J. Phillips, and R. Chellappa, "Dictionarybased face recognition from video," in Computer Vision. Berlin, Germany: Springer-Verlag, 2012, pp. 766-779.
11. T. Kim, J. Kittler, and R. Cipolla, "Discriminative learning and recognition of image set classes using canonical correlations," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 6, pp. 1005-1018, Jun. 2007. (Pubitemid 46667413)
12. R. Wang and X. Chen, "Manifold discriminant analysis," in Proc. IEEE Conf. CVPR, Jun. 2009, pp. 429-436.
13. H. J. Seo and P. Milanfar, "Face verification using the LARK representation," IEEE Trans. Inf. Forensics Security, vol. 6, no. 4, pp. 1275-1286, Dec. 2011.
14. K.-C. Lee, J. Ho, M.-H. Yang, and D. Kriegman, "Video-based face recognition using probabilistic appearance manifolds," in Proc. IEEE Conf. CVPR, Jun. 2003, pp. 313-320.
15. J. Stallkamp, H. K. Ekenel, and R. Stiefelhagen, "Video-based face recognition on real-world data," in Proc. IEEE ICCV, Oct. 2007, pp. 1-8.
16. A. Hadid and M. Pietikainen, " From still image to video-based face recognition: An experimental analysis," in Proc. IEEE Conf. Autom. Face Gesture Recognit., May 2004, pp. 813-818.
17. W. Fan and D.-Y. Yeung, "Locally linear models on face appearance manifolds with application to dual-subspace based classification," in Proc. IEEE Conf. CVPR, Jun. 2006, pp. 1384-1390. (Pubitemid 44931482)
18. R. Wang, H. Guo, L. S. Davis, and Q. Dai, "Covariance discriminative learning: A natural and efficient approach to image set classification," in Proc. IEEE Conf. CVPR, Jun. 2012, pp. 2496-2503.
19. R. Caseiro, P. Martins, J. F. Henriques, F. S. Leite, and J. Batista, "Rolling Riemannian manifolds to solve the multi-class classification problem," in Proc. IEEE Conf. CVPR, Jun. 2013, pp. 41-48.
20. S. Jayasumana, R. Hartley, M. Salzmann, H. Li, and M. Harandi, "Kernel methods on the Riemannian manifold of symmetric positive definite matrices," in Proc. IEEE Conf. CVPR, Jun. 2013, pp. 73-80.
21. R. Wang, S. Shan, X. Chen, Q. Dai, and W. Gao, "Manifold-manifold distance and its application to face recognition with image sets," IEEE Trans. Image Process., vol. 21, no. 10, pp. 4466-4479, Oct. 2012.
22. D. Burges and C. Crisp, "A geometric interpretation of v-svm classifiers," in Advances in Neural Information Processing Systems. Cambridge, MA, USA: MIT Press, 2000, pp. 244-250.
23. Y. Hu, A. S. Mian, and R. Owens, "Face recognition using sparse approximated nearest points between image sets," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 10, pp. 1992-2004, Oct. 2012.
24. M. Yang, P. Zhu, L. Van Gool, and L. Zhang, "Face recognition based on regularized nearest points between image sets," in Proc. IEEE Conf. Autom. Face Gesture Recognit., Apr. 2013, pp. 1-7.
25. Y. Wu, M. Minoh, M. Mukunoki, and S. Lao, "Set based discriminative ranking for recognition," in Computer Vision. Berlin, Germany: Springer-Verlag, 2012, pp. 497-510.
26. Y. Wu, M. Minoh, and M. Mukunoki, "Collaboratively regularized nearest points for set based recognition," in Proc. BMVC, 2013, pp. 1-10.
27. K. Fukui, B. Stenger, and O. Yamaguchi, "A framework for 3D object recognition using the kernel constrained mutual subspace method," in Computer Vision. Berlin, Germany: Springer-Verlag, 2006, pp. 315-324. (Pubitemid 43849423)
28. W.-S. Chu, J.-C. Chen, and J.-J. J. Lien, "Kernel discriminant transformation for image set-based face recognition," Pattern Recognit., vol. 44, no. 8, pp. 1567-1580, 2011.
29. G. Baudat and F. Anouar, "Generalized discriminant analysis using a kernel approach," Neural Comput., vol. 12, no. 10, pp. 2385-2404, 2000.
30. R. Rosipal and N. Krämer, "Overview and recent advances in partial least squares," in Subspace, Latent Structure and Feature Selection. Berlin, Germany: Springer-Verlag, 2006, pp. 34-51. (Pubitemid 44029878)
31. J. Wright, A. Y. Yang, A. Ganesh, S. S. Sastry, and Y. Ma, "Robust face recognition via sparse representation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 2, pp. 210-227, Feb. 2009.
32. L. Zhang, M. Yang, and X. Feng, "Sparse representation or collaborative representation: Which helps face recognition?" in Proc. IEEE ICCV, Nov. 2011, pp. 471-478.
33. M. Yang, L. Zhang, J. Yang, and D. Zhang, "Regularized robust coding for face recognition," IEEE Trans. Image Process., vol. 22, no. 5, pp. 1753-1766, May 2013.
34. S. Gao, I. W.-H. Tsang, and L.-T. Chia, "Sparse representation with kernels," IEEE Trans. Image Process., vol. 22, no. 2, pp. 423-434, Feb. 2013.
35. M. Yang, L. Zhang, S.-K. Shiu, and D. Zhang, "Robust kernel representation with statistical local features for face recognition," IEEE Trans. Neural Netw. Learn. Syst., vol. 24, no. 6, pp. 900-912, Jun. 2013.
36. K. Crammer, R. Gilad-Bachrach, A. Navot, and N. Tishby, "Margin analysis of the LVQ algorithm," in Advances in Neural Information Processing Systems. Cambridge, MA, USA: MIT Press, 2002, pp. 462-469.
37. S. Rosset, J. Zhu, and T. Hastie, "Boosting as a regularized path to a maximum margin classifier," J. Mach. Learn. Res., vol. 5, pp. 941-973, Aug. 2004.
38. J. Blitzer, K. Q. Weinberger, and L. K. Saul, "Distance metric learning for large margin nearest neighbor classification," in Advances in Neural Information Processing Systems. Cambridge, MA, USA: MIT Press, 2005, pp. 1473-1480.
39. R. Gilad-Bachrach, A. Navot, and N. Tishby, "Margin based feature selection-theory and algorithms," in Proc. Int. Conf. Mach. Learn., 2004, pp. 43-50.
40. Z. Wang, J. Yang, N. Nasrabadi, and T. Huang, "A max-margin perspective on sparse representation-based classification," in Proc. IEEE ICCV, Dec. 2013, pp. 1217-1224.
41. R. Rockafellar, Convex Analysis, vol. 28. Princeton, NJ, USA: Princeton Univ. Press, 1997.
42. H. Cevikalp, B. Triggs, H. S. Yavuz, Y. Küçük, M. Küçük, and A. Barkana, "Large margin classifiers based on affine hulls," Neurocomputing, vol. 73, nos. 16-18, pp. 3160-3168, 2010.
43. K. P. Bennett and E. J. Bredensteiner, "Duality and geometry in SVM classifiers," in Proc. ICML, 2000, pp. 57-64.
44. X. Peng and Y. Wang, "Geometric algorithms to large margin classifier based on affine hulls," IEEE Trans. Neural Netw. Learn. Syst., vol. 23, no. 2, pp. 236-246, Feb. 2012.
45. V. M. Patel, T. Wu, S. Biswas, P. J. Phillips, and R. Chellappa, "Dictionary-based face recognition under variable lighting and pose," IEEE Trans. Inf. Forensics Security, vol. 7, no. 3, pp. 954-965, Jun. 2012.
46. R. Rubinstein, M. Zibulevsky, and M. Elad, "Efficient implementation of the K-SVD algorithm using batch orthogonal matching pursuit," Dept. Comput. Sci., Technion, Haifa, Israel, Tech. Rep. CS-2008-08, 2008.
47. M. Yang, L. Zhang, J. Yang, and D. Zhang, "Metaface learning for sparse representation based face recognition," in Proc. IEEE ICIP, Sep. 2010, pp. 1601-1604.
48. J. Zhu, S. Rosset, T. Hastie, and R. Tibshirani, "1-norm support vector machines," in Advances in Neural Information Processing Systems. Cambridge, MA, USA: MIT Press, 2003, pp. 49-56.
49. A. Gunawardana and W. Byrne, "Convergence theorems for generalized alternating minimization procedures," J. Mach. Learn. Res., vol. 6, pp. 2049-2073, Dec. 2005.
50. B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani, "Least angle regression," Ann. Statist., vol. 32, no. 2, pp. 407-499, 2004. (Pubitemid 41250302)
51. U. Niesen, D. Shah, and G. W. Wornell, "Adaptive alternating minimization algorithms," IEEE Trans. Inf. Theory, vol. 55, no. 3, pp. 1423-1429, Mar. 2009.
52. S. Kim, K. Koh, M. Lustig, S. Boyd, and D. Gorinevsky, "An interiorpoint method for large-scale l1-regularized least squares," IEEE J. Sel. Topics Signal Process., vol. 1, no. 4, pp. 606-617, Dec. 2007. (Pubitemid 351266626)
53. T. F. Coleman and Y. Li, "A reflective newton method for minimizing a quadratic function subject to bounds on some of the variables," SIAM J. Optim., vol. 6, no. 4, pp. 1040-1058, 1996.
54. R. Gross and J. Shi, "The CMU motion of body (MoBo) database," Tech. Rep., vol. 27, no. 1, pp. 1-13, 2001.
55. M. Kim, S. Kumar, V. Pavlovic, and H. Rowley, "Face tracking and recognition with visual constraints in real-world videos," in Proc. IEEE Conf. CVPR, Jun. 2008, pp. 1-8.
56. S. Gao, I. W.-H. Tsang, and L.-T. Chia, "Kernel sparse representation for image classification and face recognition," in Computer Vision. Berlin, Germany: Springer-Verlag, 2010, pp. 1-14.
57. P. Viola and M. Jones, "Robust real-time face detection," Int. J. Comput. Vis., vol. 57, no. 2, pp. 137-154, 2004.