Data insufficiency in sketch versus photo face recognition

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn , Issue , 2012, Pages 1-8

  Choi, Jonghyun ^a   Sharma, Abhishek ^a   Jacobs, David W ^a   Davis, Larry S ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; EDGE FEATURES; EMPIRICAL EVIDENCE; FACE RECOGNITION SYSTEMS; RECOGNITION RATES; STATE-OF-THE-ART APPROACH; TRAINING DATA;

COMPUTER VISION; FACE RECOGNITION; PHOTOGRAPHY;

DRAWING (GRAPHICS);

EID: 84865001617     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2012.6239208     Document Type: Conference Paper

References (35)

1. http://mmlab.ie.cuhk.edu.hk/cufsf/.
2. H. S. Bhatt, S. Bharadwaj, R. Singh, and M. Vatsa. On matching sketches with digital face images. In BTAS, pages 1-7, 2010.
3. J. Choi,W. R. Schwartz, H. Guo, and L. S. Davis. A Complementary Local Feature Descriptor for Face Identification. In WACV, 2012.
4. X. Gao, J. Zhong, J. Li, and C. Tian. Face Sketch Synthesis Algorithm Based on E-HMM and Selective Ensemble. Circuits and Systems for Video Technology, IEEE Transactions on, 18(4):487-496, 2008.
5. L. Gibson. Forensic Art Essentials: A Manual for Law Enforcement Artists. 1 edition, 2007.
6. G. E. Hinton, S. Osindero, and Y. Teh. A fast learning algorithm for deep belief nets. Neural Computation, 18:1527-1554, 2006.
7. A. K. Jain and B. Klare. Matching Forensic Sketches and Mug Shots to Apprehend Criminals. Computer, 44(5):94-96, 2011.
8. B. Klare and A. Jain. Sketch to Photo Matching: A Feature-Based Approach. In Proc. SPIE Conf. Biometric Technology for Human Identification, 2010.
9. B. Klare, Z. Li, and A. K. Jain. Matching Forensic Sketches to Mug Shot Photos. IEEE T. PAMI, 33(3):639-646, 2011.
10. Q. V. Le, J. Ngiam, A. Coates, A. Lahiri, B. Prochnow, and A. Y. Ng. On optimization methods for deep learning. In ICML, 2011.
11. Z. Lei and S. Z. Li. Coupled Spectral Regression for matching heterogeneous faces. In CVPR, 2009.
12. D. Lin and X. Tang. Inter-modality Face Recognition. In ECCV (4), pages 13-26, 2006.
13. Q. Liu, X. Tang, H. Jin, H. Lu, and S. Ma. A nonlinear approach for face sketch synthesis and recognition. In CVPR, volume 1, 2005.
14. A. M. Martinez and R. Benavente. The AR Face Database. Technical report, 1998.
15. K. Messer, J. Matas, J. Kittler, J. Luettin, and G. Maitre. XM2VTSDB: the Extended of M2VTS Database. In International Conference on Audio- and Video-Based Person Authentication, pages 72-77, 1999.
16. J. Ngiam, Z. Chen, P. Koh, and A. Y. Ng. Learning deep energy models. In ICML, 2011.
17. J. Ngiam, A. Khosla, M. Kim, J. Nam, H. Lee, and A. Y. Ng. Multi-modal deep learning. In ICML, 2011.
18. H. Nizami, J. P. Adkins-Hill, Y. Zhang, J. R. Sullins, C. McCullough, S. Canavan, and L. Yin. A biometric database with rotating head videos and hand-drawn face sketches. In BTAS, pages 1-6, 2009.
19. P. J. Phillips, H. Moon, S. A. Rizvi, and P. J. Rauss. The FERET Evaluation Methodology for Face-Recognition Algorithms. IEEE T. PAMI, 22:1090-1104, 2000.
20. W. R. Schwartz, H. Guo, and L. S. Davis. A Robust and Scalable Approach to Face Identification. In ECCV, 2010.
21. A. Sharma and D. Jacobs. Bypassing Synthesis: PLS for Face Recognition with Pose, Low-Resolution and Sketch. In CVPR, pages 593-600, 2011.
22. L. Shen and L. Bai. A review on Gabor wavelets for face recognition. Pattern Anal. Appl., 9:273-292, 2006.
23. P. Sinha, B. Balas, Y. Ostrovsky, and R. Russell. Face Recognition by Humans: Nineteen Results All Computer Vision Researchers Should Know About. Proceedings of the IEEE, 94(11):1948-1962, 2006.
24. X. Tang and X.Wang. Face photo recognition using sketch. In ICIP, volume 1, 2002.
25. X. Tang and X. Wang. Face sketch synthesis and recognition. In ICCV, 2003.
26. X. Tang and X.Wang. Face sketch recognition. Circuits and Systems for Video Technology, IEEE Transactions on, 14(1):50-57, 2004.
27. A. Torralba and A. A. Efros. Unbiased Look at Dataset Bias. In CVPR, 2011.
28. M. A. Turk and A. P. Pentland. Face recognition using eigenfaces. In CVPR, pages 586-591, 1991.
29. Uhl and N. da Vitoria Lobo. A framework for recognizing a facial image from a police sketch. In CVPR, pages 586-593, 1996.
30. X.Wang and X. Tang. Face Photo-Sketch Synthesis and Recognition. IEEE T. PAMI, 31(11):1955-1967, 2009.
31. W. Zhang, X. Wang, and X. Tang. Lighting and Pose Robust Face Sketch Synthesis. 2010.
32. W. Zhang, X. Wang, and X. Tang. Coupled Information-Theoretic Encoding for Face Photo-Sketch Recognition. In CVPR, 2011.
33. Y. Zhang, S. Ellyson, A. Zone, P. Gangam, J. Sullins, C. McCullough, S. Canavan, and L. Yin. Recognizing face sketches by a large number of human subjects: A perception-based study for facial distinctiveness. In FG, pages 707-712, 2011.
34. Y. Zhang, C. McCullough, J. R. Sullins, and C. R. Ross. Hand-Drawn Face Sketch Recognition by Humans and a PCA-Based Algorithm for Forensic Applications. Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 40(3):475-485, 2010.
35. J. Zhong, X. Gao, and C. Tian. Face Sketch Synthesis using E-HMM and Selective Ensemble. In Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on, volume 1, 2007.