Enhanced patterns of oriented edge magnitudes for face recognition and image matching

IEEE Transactions on Image Processing

Volumn 21, Issue 3, 2012, Pages 1352-1365

  Vu, Ngoc Son ^a   Caplier, Alice ^a  

^a GIPSA LAB   (France)

Author keywords

Face recognition; Face Recognition Technology (FERET); face representation; image matching; Labeled Faces in the Wild (LFW); local descriptors; low complexity; Patterns of Oriented Edge Magnitudes (POEM)

Indexed keywords

FACE RECOGNITION TECHNOLOGY (FERET); FACE REPRESENTATIONS; LABELED FACES IN THE WILD (LFW); LOCAL DESCRIPTORS; LOW COMPLEXITY; PATTERNS OF ORIENTED EDGE MAGNITUDES (POEM);

ALGORITHMS; IMAGE MATCHING;

FACE RECOGNITION;

EID: 84857308147     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2011.2166974     Document Type: Article

References (44)

1. N.-S. Vu and A. Caplier, "Face recognition with patterns of oriented edge magnitudes," in Proc. ECCV, 2010, pp. 313-326 [Online]. Available: http://www.springerlink.com/content/k510660437327600/
2. V. Perlibakas, "Distance measures for PCA-based face recognition," Pattern Recognit. Lett. vol. 25, no. 6, pp. 711-724, Apr. 2004 [Online]. Available: http://dx.doi.org/10.1016/j.patrec.2004.01.011 (Pubitemid 38459483)
3. K. Mikolajczyk and C. Schmid, "A performance evaluation of local descriptors," IEEE Trans. Pattern Anal. Mach. Intell. vol. 27, no. 10, pp. 1615-1630, Oct. 2005 [Online]. Available: http://dx.doi.org/10.1109/TPAMI.2005. 188 (Pubitemid 41555406)
4. M. Turk and A. Pentland, "Eigenfaces for recognition," J. Cogn. Neurosci., vol. 3, no. 1, pp. 71-86, 1991.
5. P. Belhumeur, J. Hespanha, and D. 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 [Online]. Available: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10. 3247 (Pubitemid 127762263)
6. T. Ahonen, A. Hadid, and M. Pietikainen, "Face recognition with local binary patterns," in Proc. ECCV, 2004, pp. 469-481.
7. C. Liu and H. Wechsler, "Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition," IEEE Trans. Image Process., vol. 11, no. 4, pp. 467-476, Apr. 2002. (Pubitemid 34692396)
8. B. Heisele, P. Ho, J. Wu, and T. Poggio, "Face recognition: Component-based versus global approaches," Comput. Vis. Image Understand. vol. 91, no. 1/2, pp. 6-21, Jul./Aug. 2003 [Online]. Available: http://dx.doi.org/10.1016/S1077-3142(03)00073-0
9. E. Nowak, F. Jurie, and B. Triggs, "Sampling strategies for bag-of-features image classification," in Proc. ECCV, 2006, pp. 490-503 [Online]. Available: http://dx.doi.org/10.1007/11744085-38 (Pubitemid 44029653)
10. W. Zhang, S. Shan, W. Gao, X. Chen, and H. Zhang, "Local Gabor Binary Pattern Histogram Sequence (LGBPHS): A novel non-statistical model for face representation and recognition," in Proc. ICCV, 2005, vol. 1, pp. 786-791 [Online]. Available: http://dx.doi.org/10.1109/ICCV.2005.147 (Pubitemid 44055035)
11. B. Zhang, S. Shan, X. Chen, and W. Gao, "Histogram of Gabor Phase Patterns (HGPP): A novel object representation approach for face recognition," IEEE Trans. Image Process., vol. 16, no. 1, pp. 57-68, Jan. 2007. (Pubitemid 46437469)
12. J. Zou, Q. Ji, and G. Nagy, "A comparative study of local matching approach for face recognition," IEEE Trans. Image Process., vol. 16, no. 10, pp. 2617-2628, Oct. 2007. (Pubitemid 47456027)
13. X. Tan and B. Triggs, "Fusing Gabor and LBP feature sets for kernel-based face recognition," in Proc. AMFG, 2007, pp. 235-249.
14. N. Pinto, J. DiCarlo, and D. Cox, "Establishing good benchmarks and baselines for face recognition," in Proc. Faces Real-Life Images Workshop ECCV, 2008.
15. N. Pinto, J. DiCarlo, and D. Cox, "How far can you get a modern face recognition test set using only simple features?," in Proc. CVPR, 2009, pp. 2591-2598.
16. S. Shan, P. Yang, X. Chen, and W. Gao, "Adaboost Gabor fisher classifier for face recognition," in Proc. AMFG, 2005, pp. 279-292 [Online]. Available: http://dx.doi.org/10.1007/11564386-22
17. W. Choi, S. Tse, K. Wong, and K. Lam, "Simplified Gabor wavelets for human face recognition," Pattern Recognit. vol. 41, no. 3, pp. 1186-1199, Mar. 2008 [Online]. Available: http://dx.doi.org/10.1016/j.patcog.2007.07.025 (Pubitemid 47632677)
18. T. Ojala, M. Pietikainen, and T. Maenpaa, "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns," IEEE Trans. Pattern Anal. Mach. Intell. vol. 24, no. 7, pp. 971-987, Jul. 2002 [Online]. Available: http://dx.doi.org/10.1109/TPAMI.2002. 1017623 (Pubitemid 34835471)
19. L. Wolf, T. Hassner, and Y. Taigman, "Descriptor based methods in the wild," in Proc. Faces Real-Life Images Workshop ECCV, Oct. 2008 [Online]. Available: http://www.openu.ac.il/home/hassner/projects/Patchlbp
20. G. Zhang, X. Huang, S. Li, Y. Wang, and X. Wu, "Boosting Local Binary Pattern (LBP)-based face recognition," in Proc. Adv. Biometric Person Authentication, 2005, pp. 179-186 [Online]. Available: http://dx.doi.org/10.1007/978-3-540-30548-4-21
21. E. Meyers and L. Wolf, "Using biologically inspired features for face processing," Int. J. Comput. Vis., vol. 76, no. 1, pp. 93-104, Jan. 2008. (Pubitemid 350234089)
22. B. Zhang, Y. Gao, S. Zhao, and J. Liu, "Local derivative pattern versus local binary pattern: Face recognition with high-order local pattern descriptor," IEEE Trans. Image Process. vol. 19, no. 2, pp. 533-544, Feb. 2010 [Online].Available: http://dx.doi.org/10.1109/TIP.2009.2035882
23. H. Nguyen, L. Bai, and L. Shen, "Local Gabor binary pattern whitened PCA: A novel approach for face recognition from single image per person," in Proc. ICB, 2009, pp. 269-278 [Online].Available: http://dx. doi.org/10.1007/978-3-642-01793-3-28
24. M. Guillaumin, J. Verbeek, and C. Schmid, "Is that you? metric learning approaches for face identification," in Proc. ICCV, 2009, pp. 498-505 [Online]. Available: http://lear.inrialpes.fr/pubs/2009/GVS09
25. Z. Cao, Q. Yin, X. Tang, and J. Sun, "Face recognition with learning-based descriptor," in Proc. CVPR, 2010, pp. 2707-2714.
26. S. Winder, G. Hua, and M. Brown, "Picking the best daisy," in Proc. CVPR, 2009, pp. 178-185.
27. D. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis. vol. 60, no. 2, pp. 91-110, Nov. 2004 [Online]. Available: http://dx.doi.org/10.1023/B:VISI.0000029664.99615.94
28. T. Tuytelaars and L. J. Van Gool, "Matching widely separated views based on affine invariant regions," Int. J. Comput. Vis., vol. 59, no. 1, pp. 61-85, Aug. 2004.
29. C. Harris and M. Stephens, "A combined corner and edge detector," in Proc. Alvey Vis. Conf., 1988, pp. 147-152.
30. K. Mikolajczyk, T. Tuytelaars, C. Schmid, A. Zisserman, J. Matas, F. Schaffalitzky, T. Kadir, and L. Van Gool, "A comparison of affine region detectors," Int. J. Comput. Vis., vol. 65, no. 1/2, pp. 43-72, Nov. 2005. (Pubitemid 43281159)
31. H. Bay, T. Tuytelaars, and L. Van Gool, "SURF: Speeded up robust features," in Proc. ECCV, 2006, pp. 404-417. (Pubitemid 44029795)
32. T. Lindeberg, "Feature detection with automatic scale selection," Int. J. Comput. Vis. vol. 30, no. 2, pp. 79-116, Nov. 1998 [Online]. Available: http://dx.doi.org/10.1023/A:1008045108935 (Pubitemid 128517917)
33. W. Freeman and E. Adelson, "The design and use of steerable filters," IEEE Trans. Pattern Anal. Mach. Intell., vol. 13, no. 9, pp. 891-906, Sep. 1991. (Pubitemid 21703455)
34. A. Baumberg, "Reliable feature matching across widely separated views," in Proc. CVPR, 2000, pp. 1774-1781.
35. L.Wolf, T. Hassner, and Y. Taigman, "Similarity scores based on background samples," in Proc. ACCV, 2009, pp. 88-97.
36. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in Proc. CVPR, 2005, pp. 886-893 [Online]. Available: http://dx.doi.org/10.1109/CVPR.2005.177 (Pubitemid 43897286)
37. H. Chen, P. Belhumeur, and D. Jacobs, "In search of illumination invariants," in Proc. CVPR, 2000, pp. 254-261.
38. P. Viola and M. Jones, "Robust real-time face detection," Int. J. Comput. Vis., vol. 57, no. 2, pp. 137-154, May 2004.
39. W. Deng, J. Hu, and J. Guo, "Gabor-eigen-whiten-cosine: A robust scheme for face recognition," in Proc. AMFG, 2005, pp. 336-349 [Online]. Available: http://dx.doi.org/10.1007/11564386-26
40. P. J. Phillips, H. Moon, S. A. Rizvi, and P. J. Rauss, "The FERET evaluation methodology for face-recognition algorithms," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 10, pp. 1090-1104, Oct. 2000.
41. N.-S. Vu and A. Caplier, "Illumination-robust face recognition using the retina modelling," in Proc. IEEE ICIP, 2009, pp. 3289-3292 [Online]. Available: http://ieeexplore.ieee.org/xpl/freeabs-all.jsp?arnumber=5413963
42. 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 Univ. Massachusetts, Amherst, MA, Tech. Rep. 07-49, 2007.
43. N. Kumar, A. Berg, P. Belhumeur, and S. Nayar, "Attribute and simile classifiers for face verification," in Proc. ICCV, 2009, pp. 365-372.
44. Y. Taigman, L.Wolf, and T. Hassner, "Multiple one-shots for utilizing class label information," in Proc. Brit. Mach. Vis. Conf., 2009.