Eye detection using color information and a new efficient SVM

IEEE 4th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2010

Volumn , Issue , 2010, Pages

  Chen, Shuo ^a   Liu, Chengjun ^a  

^a University Heights   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC FACE RECOGNITION SYSTEMS; CANDIDATE SELECTION; COLOR INFORMATION; DETECTION ACCURACY; DIMENSIONALITY REDUCTION; EYE COLOR; EYE DETECTION; EYE DETECTION METHOD; FACE RECOGNITION GRAND CHALLENGES; HAAR WAVELETS; IMAGE REPRESENTATIONS; MAXIMUM MARGIN; MULTISCALES; SELECTION STAGES; SUPPORT VECTOR; TIME-ACCURATE; TWO STAGE; VALIDATION STAGES; WAVELET FEATURES; YCBCR COLOR SPACES;

BIOMETRICS; COLOR; EYE PROTECTION; IMAGE ENHANCEMENT; INFORMATION USE; PIXELS; SUPPORT VECTOR MACHINES;

FACE RECOGNITION;

EID: 78650391804     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BTAS.2010.5634520     Document Type: Conference Paper

References (23)

1. V. Vapnik, The Nature of Statistical Learning Theory, Springer-Verlag, New York, NY; 1995.
2. M.H. Nguyen, J. Perez, and F.D.L.T. Frade, "Facial Feature Detection with Optimal Pixel Reduction SVM", IEEE International Conference on Automatic Face and Gesture, 2008.
3. H.J. Jia and A.M. Martinez, "Support Vector Machines in Face Recognition with Occlusion", IEEE International Conference on Computer Vision and Pattern Recognition, 2009.
4. K.M. Lin, and C.J. Lin, A Study on Reduced Support Vector Machine, IEEE Transaction on Neural Networks, vol. 14, no. 6, pp. 1449-1559, 2003.
5. P.H. Chen, C.J. Lin, and B. Scholkopf, A Tutorial on ν-Support Vector Machines, Applied Stochastic Models in Business and Industry, vol. 21, pp. 111-136, 2005.
6. Z.W Zhu and Q. Ji Robust Real-time Eye Detection and Tracking Under Variable Lighting Conditions and Various Face Orientations, Computer Vision and Image Understanding, vol. 98, no. 1, 2005, pp. 124-154.
7. X. Xie, R. Sudhakar, and H. Zhuang, On Improving Eye Feature Extraction Using Deformable Templates, Pattern Recognition, vol. 27, no. 8, 1994, pp. 791-799.
8. Z.H. Zhou and X. Geng, Projection Function for Eye Detection, Pattern Recognition, vol. 37, no. 5, 2004, pp. 1049-1056.
9. P. Wang and Q. Ji, Multi-view Face and Eye Detection Using Discriminant Features, Computer Vision and Image Understanding, vol. 105, no. 2, 2007, pp. 99-111.
10. S. Mallat, A Theory for Multiresolution Signal Decomposition: The Wavelet Representation, IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 11, no. 7, 1989, pp. 674-693.
11. N. Dalal and B. Triggs, "Histograms of Oriented Gradients for Human Detection", IEEE Int. Conf. on Computer Vision and Pattern Recognition, 2005, pp. 886-893.
12. M. Zhou and H. Wei, "Face Verification Using Gabor Wavelets and Adaboost", IEEE International Conference on Pattern Recognition, 2006.
13. T. Ahonen, A. Hadid, and M. Pietikainen, Face Descriptor with Local Binary Patterns: Application to Face Recognition, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 12, no. 28, 2006, pp. 2037-2041.
14. C. Liu, A Bayesian Discriminating Features Method for Face Detection, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 25, no. 6, 2003, pp. 725-740.
15. J.X Wu and Z.H. Zhou, Efficient Face Candidates Selector for Face Recognition, Pattern Recognition, vol. 36, no, 5, 2003, pp. 1175-1186.
16. P. Viola and M. Jones, "Rapid Object Detection Using a Boosted Cascade of Simple Features", IEEE Int. Conf. on Computer Vision and Pattern Recognition, 2001.
17. 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, no. 4, 2002, pp 467-476.
18. P.J Phillips, P.j. Flynn, and T. Scruggs, "Overview of the Face Recognition Grand Challenge", IEEE Int. Conf. on Computer Vision and Pattern Recognition", 2005.
19. P. Wang and Q. Ji, "Learning Discriminanting Features for Multiview Face and Eye Detection", IEEE Int. Conf. on Computer Vision and Pattern Recognition, 2005.
20. M. Everingham, and A. Zisserman, "Regression and Classification Approaches to Eye Localization in Face Images", International Conference on Automatic Face and Gesture Recognition, 2006.
21. J.L. Fang and S. Chen, "A Simplification to Support Vector Machine for the Second Training", IEEE Internation Conference on Artiricial Reality and Telexistence, 2006, pp. 73-78.
22. P. Wang, M.B Green, Q. Ji, and J. Wayman, "Automatic Eye Detection and Its Validation", IEEE International Conference on Computer Vision and Pattern Recognition, 2005.
23. C.P. Papageorgiou, M. Oren, and T. Poggio, "A General Framework for Object Detection", IEEE International Conference on Computer Vision, 1998.