Pose-robust face recognition via sparse representation

Pattern Recognition

Volumn 46, Issue 5, 2013, Pages 1511-1521

  Zhang, Haichao ^a   Zhang, Yanning ^a   Huang, Thomas S ^b  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Face synthesis; Latent sparse modeling; Pose normalization; Pose robust face recognition; Sparse representation

Indexed keywords

FACE DATABASE; FACE IMAGES; FACE RECOGNITION METHODS; FACE SYNTHESIS; POSE VARIATION; POSE-NORMALIZATION; SPARSE REPRESENTATION;

PROBES;

FACE RECOGNITION;

EID: 84872493556     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2012.10.025     Document Type: Article

References (41)

1. Matthew Turk, and Alex Pentland Eigenfaces for recognition Journal of Cognitive Neuroscience 3 1 1991 71 86
2. Peter N. Belhumeur, João P. Hespanha, and David J. Kriegman Eigenfaces vs. Fisherfaces recognition using class specific linear projection IEEE Transactions on Pattern Analysis and Machine Intelligence 19 7 1997 711 720
3. Alex Pentland, Baback Moghaddam, Thad Starner, View-based and modular eigenspaces for face recognition, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1994.
4. Chuan-Xian Ren, and Dao-Qing Dai Incremental learning of bidirectional principal components for face recognition Pattern Recognition 43 1 2010 318 330
5. Jeffrey Ho, Ming-Hsuan Yang, Jongwoo Lim, Kuang-Chih Lee, David J. Kriegman, Clustering appearances of objects under varying illumination conditions, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2003.
6. John Wright, Allen Y. Yang, Arvind Ganesh, S. Shankar Sastry, and Yi Ma Robust face recognition via sparse representation IEEE Transactions on Pattern Analysis and Machine Intelligence 31 February 2 2009 210 227
7. M. Farhat, A. Alfalou, H. Hamam, and C. Brosseau Double fusion filtering based multi-view face recognition Optics Communications 282 11 2009 2136 2142
8. Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal, Jason Weston, Berhard Schölkopf, Learning with local and global consistency, in: Advances in Neural Information Processing Systems (NIPS), 2004, pp. 321-328.
9. E. Kokiopoulou, and P. Frossard Graph-based classification of multiple observation sets Pattern Recognition 43 12 2010
10. Hakan Cevikalp, Bill Triggs, Face recognition based on image sets, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
11. Kazuhiro Fukui, and Osamu Yamaguchi Face recognition using multi-viewpoint patterns for robot vision Springer Tracts in Advanced Robotics 15 2005 192 201
12. Jihun Hamm, Daniel D. Lee, Grassmann discriminant analysis: a unifying view on subspace-based learning, in: International Conference on Machine Learning (ICML), 2008, pp. 376-383.
13. Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, and Thomas S. Huang Joint dynamic sparse representation for multi-view face recognition Pattern Recognition 45 4 2012 1290 1298
14. Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, and Thomas S. Huang Multi-view automatic target recognition using joint sparse representation IEEE Transactions on Aerospace and Electronic Systems 48 3 2012 2481 2497
15. Haichao Zhang, Yanning Zhang, Nasser M. Nasrabadi, Thomas S. Huang, Joint structured sparsity based classification for multiple-measurement transient acoustic signals, IEEE Transactions on Systems, Man, Cybernetics, Part B, 42 (6) (2012) 1586-1598.
16. Volker Blanz, and Thomas Vetter A morphable model for the synthesis of 3D faces ACM Transactions on Graphics (SIGGRAPH) 1999 187 194
17. Volker Blanz, and Thomas Vetter Face recognition based on fitting a 3D morphable model IEEE Transactions on Pattern Analysis and Machine Intelligence 25 9 2003 1063 1074
18. Wenyi Zhao, Rama Chellappa, SFS based view synthesis for robust face recognition, in: IEEE International Conference on Automatic Face and Gesture Recognition (AFGR), 2000, pp. 285-292.
19. D.J. Beymer, Face recognition under varying pose, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1994, pp. 756-761.
20. Thomas Vetter, and Tomaso Poggio Linear object classes and image synthesis from a single example image IEEE Transactions on Pattern Analysis and Machine Intelligence 19 1997 733 742
21. Xiujuan Chai, Shiguang Shan, Xilin Chen, Wen Gao, Local linear regression (LLR) for pose invariant face recognition, in: International Conference on Automatic Face and Gesture Recognition (AFGR), 2006, pp. 631-636.
22. Abhishek Sharma, Anamika Dubey, Pushkar Tripathi, and Vinod Kumar Pose invariant virtual classifiers from single training image using novel hybrid-eigenfaces Neurocomputing 73 10-12 2010 1868 1880
23. Abhishek Sharma, David W. Jacobs, Bypassing synthesis: PLS for face recognition with pose, low-resolution and sketch, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011, pp. 593-600.
24. Ralph Gross, Iain Matthews, Jeffrey Cohn, Takeo Kanade, and Simon Baker Multi-PIE Image and Vision Computing 28 5 2010 807 813
25. Xiujuan Chai, Shiguang Shan, Xilin Chen, and Wen Gao Locally linear regression for pose-invariant face recognition IEEE Transactions on Image Processing 16 7 2007 1716 1725
26. Shan Du, Rabab Kreidieh Ward, Component-wise pose normalization for pose-invariant face recognition, in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2009.
27. Michael Elad, Mário A.T. Figueiredo, and X. Yi Ma On the role of sparse and redundant representations in image processing Proceedings of the IEEE - Special Issue on Applications of Sparse Representation & Compressive Sensing 96 6 2010 972 982
28. John Wright, Yi Ma, Julien Mairal, Guillermo Sapiro, Thomas Huang, and Shuicheng Yan Sparse representation for computer vision and pattern recognition Proceedings of the IEEE - Special Issue on Applications of Sparse Representation & Compressive Sensing 98 6 2010 1031 1044
29. H. Lee, A. Battle, R. Raina, A.Y. Ng, Efficient sparse coding algorithms, in: Advances in Neural Information Processing Systems (NIPS), 2006.
30. Jianchao Yang, Kai Yu, Yihong Gong, Thomas Huang, Linear spatial pyramid matching using sparse coding for image classification, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.
31. E. Candès, J. Romberg, and T. Tao Robust uncertainty principles exact signal reconstruction from highly incomplete frequency information IEEE Transactions on Information Theory 52 2 2006 489 509
32. D. Donoho Compressed sensing IEEE Transactions on Information Theory 52 4 2006 1289 1306
33. Haichao Zhang, Jianchao Yang, Yanning Zhang, Nasser M. Nasrabadi, Thomas S. Huang, Close the loop: joint blind image restoration and recognition with sparse representation prior, in: International Conference on Computer Vision (ICCV), 2011.
34. Simon J.D. Prince, James H. Elder, Jonathan Warrell, and Fatima M. Felisberti Tied factor analysis for face recognition across large pose differences IEEE Transactions on Pattern Analysis and Machine Intelligence 30 6 2008 970 984
35. Xiaoming Huo, and Jie Chen Theoretical results on sparse representations of multiple-measurement vectors IEEE Transactions on Signal Processing 54 2006 4634 4643
36. Erik Murphy-Chutorian, and Mohan M. Trivedi Head pose estimation and augmented reality tracking an integrated system and evaluation for monitoring driver awareness IEEE Transactions on Intelligent Transportation Systems 11 2 2010 300 311
37. Michal Kawulok, Jing Wu, and Edwin R. Hancock Supervised relevance maps for increasing the distinctiveness of facial images Pattern Recognition 44 4 2011 929 939
38. Sang-Il Choi, Chong-Ho Choi, Gu-Min Jeong, and Nojun Kwak Pixel selection based on discriminant features with application to face recognition Pattern Recognition Letters 33 9 2012 1083 1092
39. Haichao Zhang, Nasser M. Nasrabadi, Thomas S. Huang, Yanning Zhang, Heterogeneous multi-metric learning for multi-sensor fusion, in: 14th International Conference on Information Fusion (FUSION), 2011.
40. Yanning Zhang, Haichao Zhang, Nasser M. Nasrabadi, Thomas S. Huang, Multi-metric learning for multi-sensor fusion based classification, Information Fusion, 2012, http://dx.doi.org/10.1016/j.inffus.2012.05.002.
41. Haichao Zhang, Yanning Zhang, Thomas S. Huang, Simultaneous discriminative projection and dictionary learning for sparse representation based classification, Pattern Recognition, 46 (1) (2013) 346-354.