Face recognition based on binary edge map and support vector machine

2007 1st International Conference on Bioinformatics and Biomedical Engineering, ICBBE

Volumn , Issue , 2007, Pages 519-522

  Qiu, Xuena ^a   Wang, Wei ^a   Song, Jiatao ^a   Zhang, Xuejun ^a   Liu, Shirong ^b  

^a NINGBO UNIVERSITY OF TECHNOLOGY   (China)

^b HANGZHOU DIANZI UNIVERSITY   (China)

Author keywords

Binary edge map; Face recognition; Support vector machine

Indexed keywords

BINARY IMAGES; CONFORMAL MAPPING; ROBUST CONTROL; SUPPORT VECTOR MACHINES;

BINARY EDGE MAP (BEM); FACE CLASSIFIERS; LOCALLY ADAPTIVELY THRESHOLD (LAT);

FACE RECOGNITION;

EID: 35348909644     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICBBE.2007.136     Document Type: Conference Paper

References (21)

1. M.A. Grudin, " On internal representations in face recognition systems," Pattern and vision computing, 19, pp. 1161-1177, 2000
2. Handbook of Face Recognition, S.Z. Li and A.K. Jain, Springer, NewYork, 2005.
3. L.Zhao, Y.H.Yang, "Theoretical analysis of illumination in PCA-based vision system", Pattern Recognition, 32(4), pp. 547-564,1999
4. J.Yang, D.Zhang, A.F.Frangi, J.Y.Yang, "Two-dimensional PCA: A new approach to appearance-based face representation and recognition," IEEE Transactions on pattern analysis and Machine Intelligence, 26(1), pp.131-137, 2004.
5. A.Hyvarinen, J.Karhunen, J.Karhunen, E.Oja, "Independent component analysis," John Wiley & Sonc Inc., 2001.
6. B. Takacs. "Comparing face images using the modified Hausdorff distance ," Pattern Recognition, 31(12), pp. 1873-1881, 1998
7. K.H.Iin, K.M.Lam, W.C.Siu, "Spatially eigen-weighted Hausdorff distances for human face recognition," Pattern Recognition, 36, pp.1827-1834, 2003.
8. Y. Gao and M. K. H. Leung, "Line segment hausdorff distance on face matching," pattern Recognition, 35, pp 361-371, 2002
9. L.Wiskott, J.Fellous, N.kruger, C von der Malsburg, "Face recognition by elastic bunch graph matching," Internal Report 96-08, Ruhr University, Bochum, Germany, 1996.
10. S.Pang, D.Kim, S.Y.Bang, "Membership authentication in the dynamic group by face classification using SVM ensemble," Pattern Recognition letters, 24, pp.215-225, 2003.
11. O.Deniz, M.Castrillon, M.Hernandez, "Face recognition using independent component analysis and support vector machines," Pattern Recognition Letters, 24, pp.2153-2157, 2003.
12. G.Guo, S.Z.Li, K.L.chan, support vector machine for face recognition. Image and vision computering,19, pp.631-638, 2001.
13. A.S. Georghiades, P.N. Belhumeur, and D.J. Kriegman, "From Few to Many: Illumination Cone Models for Face Recognition under Differing Pose and Lighting," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 23, no. 6, pp. 643-660, June 2001.
14. A. S. Georghiades, D. J. Kriegman and P. N. Belhumeur, "Illumination cones for recognition under variable lighting faces," Proc. IEEE Conf. CVPR, Santa Barbara, 1998.
15. L. Zhang and D. Samaras, "Face Recognition under Variable Lighting Using Harmonic Image Exemplars," Proc. Int'l Conf. Computer Vision and Pattern Recognition, 2003.
16. H. Wang, S.Z. Li, and Y. Wang, "Generalized Quotient Image," Proc. Int'l Conf. Computer Vision and Pattern Recognition, 2004.
17. M. Savvides, B.V.K. Vijaya Kumar, and P.L. Khosla, "Corefaces -Robust Shift Invariant PCA Based Correlation Filter for Illumination Tolerant Face Recognition," Proc. Int'l Conf. Computer Vision and Pattern Recognition, 2004.
18. V.N.Vapnik. The nature of statistical learning theory, New York: Springer-Verlag, 1995
19. S.Y.Lee, Y.K.Ham, R.H.Park. Recognition of human front faces using knowledge-based feature extraction and neuro-fuzzy algorithm. Pattern Recognition, 29(11), pp.1863-1876, 1996
20. Yale University [Online]. Available: http://cvc.yale.edu/projects/ yalefaces/yalefaces.html
21. A. M. Martinez, R. Benavente, The AR face database, CVC Technical Report #24, June 1998