Improving the recognition of faces occluded by facial accessories

2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011

Volumn , Issue , 2011, Pages 442-447

  Min, Rui ^a   Hadid, Abdenour ^b   Dugelay, Jean Luc ^a  

^a EURECOM   (France)

^b UNIVERSITY OF OULU   (Finland)

Author keywords

face recognition; local binary patterns; occlusion detection

Indexed keywords

FACE DATABASE; FACE RECOGNITION SYSTEMS; FACIAL EXPRESSIONS; FACIAL PARTS; FACIAL REGIONS; GABOR WAVELETS; IMAGE DEGRADATION; LOCAL BINARY PATTERNS; OCCLUSION DETECTION; PERFORMANCE IMPROVEMENTS; REAL-WORLD APPLICATION; VIDEO SURVEILLANCE;

CONTENT BASED RETRIEVAL; GESTURE RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; SECURITY SYSTEMS; SUPPORT VECTOR MACHINES;

FACE RECOGNITION;

EID: 79958722363     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FG.2011.5771439     Document Type: Conference Paper

References (22)

1. M. Turk, and A. Pentland, 1991. "Eigenfaces for recognition," J. Cognitive Neuroscience, vol. 3, no. 1, pp. 71-86, Jan. 1991.
2. 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. (Pubitemid 127762263)
3. M. S. Bartlett, J. R. Movellan, and T. J. Sejnowski, "Face recognition by independent component analysis," IEEE Trans. Neural Netw., vol. 13, no. 6, pp. 1450-1464, Nov. 2002. (Pubitemid 35428531)
4. P. Penev, and J. Atick, "Local feature analysis: A general statistical theory for object representation," Netw.: Comput. Neural Syst., vol. 7, no. 3, pp. 477-500, 1996. (Pubitemid 126717004)
5. A. M. Martínez, "Recognizing Imprecisely Localized, Partially Occluded, and Expression Variant Faces from a Single Sample per Class," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 6, pp. 748-763, Jun. 2002. (Pubitemid 34669589)
6. X. Tan, S. Chen, Z.H. Zhou, and F. Zhang, "Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble," IEEE Transactions on Neural Networks, vol. 16, no. 4, pp. 875-886, 2005. (Pubitemid 41064319)
7. J. Kim, J. Choi, J. Yi, and M. Turk, "Effective representation using ICA for face recognition robust to local distortion and partial occlusion," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 12, pp. 1977-1981, Dec. 2005. (Pubitemid 43051393)
8. S. Fidler, D. Skocaj, and A. Leonardis, "Combining reconstructive and discriminative subspace methods for robust classification and regression by subsampling," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 3, pp. 337-350, 2006. (Pubitemid 43167906)
9. B.G. Park, K.M. Lee, and S.U. Lee, "Face recognition using face-ARG matching," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 12, pp. 1982-1988, 2005.
10. W. Zhang, S. Shan, X. Chen, and W Gao, "Local Gabor Binary Patterns Based on Kullback-Leibler Divergence for Partially Occluded Face Recognition," Signal Processing Letters, IEEE, vol.14, no.11, pp.875-878, Nov. 2007. (Pubitemid 350130784)
11. 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. IEEE Conf. Computer Vision (ICCV), vol. 1, pp. 786-791, 2005. (Pubitemid 44055035)
12. J. Wright, A. Ganesh, A. Yang, and Y. Ma, "Robust face recognition via sparse representation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, no.2, pp. 210-227, 2009.
13. H. Jia, A.M. Martinez, "Support Vector Machines in face recognition with occlusions," Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, vol., no., pp.136-141, 20-25 June 2009
14. A. Rama, F. Tarres, L. Goldmann, and T. Sikora, "More robust face recognition by considering occlusion information," Automatic Face & Gesture Recognition, 2008. FG '08. 8th IEEE International Conference on, vol., no., pp.1-6, 17-19 Sept. 2008.
15. H. J. Oh, K. M. Lee, and S. U. Lee, "Occlusion invariant face recognition using selective local non-negative matrix factorization basis images," Image Vision Comput., vol. 26, no. 11, pp. 1515-1523, Nov. 2008.
16. S. Z. Li, X. Hou, and H. Zhang, "Learning spatially localized, partsbased representation," in Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 207-212, 2001.
17. A.K. Jain, S. C. Dass, and K. Nandakumar. Can soft biometric traits assist user recognition? In Proceedings of SPIE, volume 5404, pages 561-572, 2004.
18. T . Ahonen, A. Hadid, and M. Pietikäinen, "Face recognition with local binary patterns," Computer Vision, ECCV 2004 Proceedings, Lecture Notes in Computer Science 3021, Springer, 469-481.
19. R. Min, A. D'angelo, J.-L. Dugelay, "Efficient scarf detection prior to face recognition," EUSIPCO 2010, 18th European Signal Processing Conference, pp 259-263, Aug. 2010.
20. C. Liu, and H. Wechsler, "Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition," IEEE Trans. on Image Processing, vol. 11, part 4, pp.467-476, Apr. 2002. (Pubitemid 34692396)
21. C.-C. Chang and C.-J. Lin, "LIBSVM : a library for support vector machines", 2001. Software available at http://www.csie.ntu.edu.tw/ ∼cjlin/libsvm.
22. A.M. Martinez and R. Benavente, " The AR face database," Technical report, CVC Technical report, no. 24, 1998.