Enhanced pictorial structures for precise eye localization under uncontrolled conditions

2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009

Volumn , Issue , 2009, Pages 1621-1628

  Tan, Xiaoyang ^a,b   Song, Fengyi ^a   Zhou, Zhi Hua ^b   Chen, Songcan ^a  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b NANJING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

HEURISTIC METHODS;

COMPUTATIONALLY EFFICIENT; EYE LOCALIZATION; GLOBAL CONSTRAINTS; OBJECT MODELLING; PARTIAL OCCLUSIONS; PICTORIAL STRUCTURES; PREDICTION METHODS; STRUCTURAL VARIATIONS;

COMPUTER VISION;

EID: 70450192099     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206818     Document Type: Conference Paper

References (26)

1. M. Burl, M. Weber, and P. Perona. A probabilistic approach to object recognition using local photometry and global geometry. In ECCV, pages 628-641, 1998.
2. M. Everingham and A. Zisserman. Regression and classification approaches to eye localization in face images. In FGR, pages 441-448, 2006.
3. F. Felzenszwalb and P. Huttenlocher. Pictorial structures for object recognition. IJCV, 61(1):1573-1405, 2005.
4. M. A. Fischler and R. A. Elschlager. The representation and matching of pictorial structures. IEEE Trans. Comput., 22(1):67-92, 1973.
5. C. Garcia and M. Delakis. Convolutional face finder: A neural architecture for fast and robust face detection. IEEE TPAMI, 26(11):1408-1423, 2004.
6. X. Geng, Z.-H. Zhou, and H. Dai. Uncontrolled face recognition by individual stable neural network. In PRICAI, pages 553-562, 2006.
7. X. Geng, Z.-H. Zhou, and K. Smith-Miles. Individual stable space: An approach to face recognition under uncontrolled conditions. TNN, 19(8):1354-1368, 2008.
8. T. Hastie, R. Tibshirani, and J. H. Friedman. The Elements of Statistical Learning. Springer, 2002.
9. B. Heisele, T. Serre, M. Pontil, and T. Poggio. Componentbased face detection. In CVPR, pages 657-662, 2001.
10. G. Huang, M. Ramesh, T. Berg, and E. Learned-Miller. Labeled faces in the wild: A database for studying face recognition in unconstrained environments. Technical Report 07-49, University of Massachusetts, Amherst, 2007.
11. O. Jesorsky, K. Kirchberg, and R. Frischholz. Robust face detection using the Hausdorff distance. In AVBPA, pages 90- 95, 2001.
12. M. P. Kumar, P. H. S. Torr, and A. Zisserman. Extending pictorial structures for object recognition. In BMVC, pages 789-798, 2004.
13. T. K. Leung, M. C. Burl, and P. Perona. Finding faces in cluttered scenes using random labeled graph matching. In ICCV, pages 637-644, 1995.
14. Y. Ma, X. Ding, Z. Wang, and N. Wang. Robust precise eye location under probabilistic framework. In FGR, pages 339- 344, 2004.
15. D. Nguyen and T. Ho. An efficient method for simplifying support vector machines. In ICML, pages 617-624, Bonn, Germany, 2005. (Pubitemid 43183385)
16. A. P. Pentland, B. Moghaddam, and T. E. Starner. Viewbased and modular eigenspaces for face recognition. In CVPR, pages 84-91, 1994.
17. P. J. Phillips, H. Moon, S. A. Rizvi, and P. J. Rauss. The FERET evaluation methodology for face recognition algorithms. IEEE TPAMI, 22(10):1090-1104, 2000.
18. J. C. Platt. Probabilistic outputs for support vector machines and comparisions to regularized likelihood methods. In Advances in Large Margin Classifiers, pages 61-74. MIT Press, 1999.
19. S. Shan, Y. Chang, and W. Gao. Curse of mis-alignment in face recognition: Problem and a novel mis-alignment learning solution. In FGR, pages 314-320, 2004.
20. X. Tan and B. Triggs. Enhanced local texture feature sets for face recognition under difficult lighting conditions. In AMFG, pages 168-182, 2007.
21. M. E. Tipping. The relevance vector machine. In NIPS 12, pages 652-658. 2000.
22. P. Viola and M. J. Jones. Robust real-time face detection. IJCV, 57(2):137-154, 2004.
23. M. Yang, D. Kriegman, and N. Ahuja. Detecting faces in images: A survey. IEEE TPAMI, 24(1):34-58, 2002.
24. A. Yuille, P. Hallinan, and D. Cohen. Feature extraction from faces using deformable templates. IJCV, 8(2):99-111, 1992.
25. Z.-H. Zhou and X. Geng. Projection functions for eye detection. Pattern Recogn., 37(5):1049-1056, 2004.
26. Z. Zhu and Q. Ji. Robust real-time eye detection and tracking under variable lighting conditions and various face orientations. CVIU, 98(1):124-154, 2005.