Multi-View Discriminant Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 38, Issue 1, 2016, Pages 188-194

  Kan, Meina ^a   Shan, Shiguang ^a   Zhang, Haihong ^b   Lao, Shihong ^b   Chen, Xilin ^a  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b OMRON Social Solutions Co Ltd   (Japan)

Author keywords

Common Space; Cross view Recognition; Heterogeneous Recognition; Multi view Discriminant Analysis

Indexed keywords

COMPUTER VISION; DISCRIMINANT ANALYSIS; EIGENVALUES AND EIGENFUNCTIONS; INFRARED DEVICES; INFRARED IMAGING; MATHEMATICAL TRANSFORMATIONS;

COMMON SPACES; COMPUTER VISION SYSTEM; CROSS-VIEW RECOGNITION; GENERALIZED EIGENVALUE DECOMPOSITION; GENERALIZED RAYLEIGH QUOTIENTS; HETEROGENEOUS RECOGNITION; MULTI-VIEW DISCRIMINANT ANALYSIS; SKETCH FACE RECOGNITION;

FACE RECOGNITION;

EID: 84961625718     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2015.2435740     Document Type: Article

References (36)

1. R. Gross, I. Matthews, J. Cohn, T. Kanada, and S. Baker, "The CMU multipose, illumination, and expression (multi-pie) face database," Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA, Tech. Rep. TR-07-08, 2007.
2. S. Z. Li, Z. Lei, and M. Ao, "The HFB face database for heterogeneous face biometrics research," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. Workshops, 2009, pp. 1-8.
3. A. Bellet, A. Habrard, and M. Sebban, "A survey on metric learning for feature vectors and structured data," arXiv preprint arXiv:1306.6709, Jun. 2013, http://arxiv.org/abs/1306.6709
4. H. Hotelling, "Relations between two sets of variates," Biometrika, vol. 28, nos. 3/4, pp. 321-377, 1936.
5. S. Akaho, "A kernel method for canonical correlation analysis," in Proc. Int. Meeting Psychometric Soc., 2001.
6. A. Sharma and D. W. Jacobs, "Bypassing synthesis: Pls for face recognition with pose, low-resolution and sketch," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2011, pp. 593-600.
7. X. Cai, C. Wang, B. Xiao, X. Chen, and J. Zhou, "Regularized latent least square regression for cross pose face recognition," in Proc. Int. Joint Conf. Artif. Intell., 2013, pp. 1247-1253.
8. W. Zhang, X. Wang, and X. Tang, "Coupled information-theoretic encoding for face photo-sketch recognition," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2011, pp. 513-520.
9. S. Wang, L. Zhang, Y. Liang, and Q. Pan, "Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch image synthesis," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2012, pp. 2216-2223.
10. D.-A. Huang and Y.-C. F. Wang, "Coupled dictionary and feature space learning with applications to cross-domain image synthesis and recognition," in Proc. Int. Conf. Comput. Vis., 2013, pp. 2496-2503.
11. X. Tang and X. Wang, "Face sketch recognition," IEEE Trans. Circuits Syst. Video Technol., vol. 14, no. 1, pp. 50-57, Jan. 2004.
12. Q. Liu, X. Tang, H. Jin, H. Lu, and S. Ma, "A nonlinear approach for face sketch synthesis and recognition," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2005, vol. 1, pp. 1005-1010.
13. Y. Ma, S. Lao, E. Takikawa, and M. Kawade, "Discriminant analysis in correlation similarity measure space," in Proc. Int. Conf. Mach. Learn., 2007, pp. 577-584.
14. T. Sun, S. Chen, J. Yang, and P. Shi, "A novel method of combined feature extraction for recognition," in Proc. IEEE Int. Conf. Data Mining, 2008, pp. 1043-1048.
15. T.-K. Kim, J. Kittler, and R. Cipolla, "Learning discriminative canonical correlations for object recognition with image sets," in Proc. Eur. Conf. Comput. Vis., 2006, pp. 251-262.
16. T. Diethe, D. R. Hardoon, and J. Shawe-Taylor, "Multiview Fisher discriminant analysis," in Proc. NIPS Workshop Learn. Multiple Sources, 2008.
17. T. Diethe, D. R. Hardoon, and J. S. Taylor, "Constructing nonlinear discriminants from multiple data views," in Proc. Eur. Conf. Mach. Learn. Knowl. Discovery Databases, 2010, pp. 328-343.
18. F. R. Bach and M. I. Jordan, "A probabilistic interpretation of canonical correlation analysis," Dept. Statist., Univ. California, Berkeley, CA, USA, Tech. Rep. 688, 2005.
19. D. Lin and X. Tang, "Inter-modality face recognition," in Proc. Eur. Conf. Comput. Vis., 2006, pp. 13-26.
20. N. Chen, J. Zhu, and E. P. Xing, "Predictive subspace learning for multiview data: A large margin approach," in Proc. Adv. Neural Inf. Process. Syst., 2010, vol. 23, pp. 361-369.
21. Z. Lei and S. Z. Li, "Coupled spectral regression for matching heterogeneous faces," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2009, pp. 1123-1128.
22. K. Wang, R. He, W. Wang, L. Wang, and T. Tan, "Learning coupled feature spaces for cross-modal matching," in Proc. Int. Conf. Comput. Vis., 2013, pp. 2088-2095.
23. B. F. Klare, Z. Li, and A. K. Jain, "Matching forensic sketches to mug shot photos," IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 3, pp. 639-646, Mar. 2011.
24. G. Tzimiropoulos, S. Zafeiriou, and M. Pantic, "Subspace learning from image gradient orientations," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 12, pp. 2454-2466, Dec. 2012.
25. W. Li and X. Wang, "Locally aligned feature transforms across views," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2013, pp. 3594-3601.
26. A. A. Nielsen, "Multiset canonical correlations analysis and multispectral, truly multitemporal remote sensing data," IEEE Trans. Image Process., vol. 11, no. 3, pp. 293-305, Mar. 2002.
27. J. Rupnik and J. Shawe-Taylor, "Multi-view canonical correlation analysis," in Proc. Slovenian KDD Conf. Data Mining Data Warehouses, 2010, pp. 1-4.
28. A. Sharma, A. Kumar, H. Daume III, and D.W. Jacobs, "Generalized multiview analysis: A discriminative latent space," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2012, pp. 2160-2167.
29. M. A. O. Vasilescu and D. Terzopoulos, "Multilinear analysis of image ensembles: Tensorfaces," in Proc. Eur. Conf. Comput. Vis., 2002, pp. 447-460.
30. T. Sim, S. Zhang, J. Li, and Y. Chen, "Simultaneous and orthogonal decomposition of data using multimodal discriminant analysis," in Proc. Int. Conf. Comput. Vis., 2009, pp. 452-459.
31. P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman, "Eigenfaces vs. fisherfaces: Recognition using class specific linear projection," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 711-720, Jul. 1997.
32. H. Wang, S. Yan, D. Xu, X. Tang, and T. Huang, "Trace ratio vs. ratio trace for dimensionality reduction," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2007, pp. 1-8.
33. X. Wang and X. Tang, "Face photo-sketch synthesis and recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 11, pp. 1955-1967, Nov. 2009.
34. P. Phillips, H. Wechslerb, J. Huangb, and P. J. Rauss, "The FERET database and evaluation procedure for face-recognition algorithms," Image Vis. Comput., vol. 16, no. 5, pp. 295-306, 1998.
35. M. A. Turk and A. P. Pentland, "Face recognition using eigenfaces," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 1991, vol. 591, pp. 586-591.
36. M. Kan, S. Shan, H. Zhang, S. Lao, and X. Chen, "Multi-view discriminant analysis," in Proc. Eur. Conf. Comput. Vis., 2012, pp. 808-821.