Locating human eyes using edge and intensity information

Lecture Notes in Computer Science

Volumn 3645, Issue PART II, 2005, Pages 492-501

  Song, Jiatao ^a,b   Chi, Zheru ^b   Wang, Zhengyou ^c   Wang, Wei ^a  

^a NINGBO UNIVERSITY OF TECHNOLOGY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c JIANGXI UNIVERSITY OF FINANCE AND ECONOMICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BIOLOGICAL ORGANS; FACE RECOGNITION; LIGHTING; OPTICAL RESOLVING POWER; WAVELET TRANSFORMS;

BINARY EDGE IMAGES (BEI); EYE DETECTION METHOD; FACIAL EXPRESSIONS; HUMAN EYES;

IMAGE PROCESSING;

EID: 27144541545     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11538356_51     Document Type: Conference Paper

References (16)

1. Chellappa, R., Wilson, C. L., and Sirohey, S.: Human and machine recognition of faces: A survey. Proc. IEEE. Vol.83, No.5(1995) 705-741
2. Zhao, Z. Q., Huang, D.S. and Sun, B.-Y.: Human face recognition based on multiple features using neural networks committee. Pattern Recognition Letters. Vol.25, No.12(2004)1351-1358
3. Guo, L. and Huang, D.S.: Human face recognition based on Radial basis probabilistic neural network. Int. Joint Conf on Neural Networks (IJCNN2003), Portland, Oregon, July 20-24, (2003) 2208-2211
4. Yang, M.-H., Kriegman, D. J., Ahuja, N.: Detecting faces in images: A survey. IEEE Trans. on PAMI. Vol.24, No. 1(2002) 34-58
5. Phillips, P. J., Moon, H., Rizvi, S. A., et al: The FERET evaluation methodology for face recognition algorithms. IEEE Trans. on PAMI. Vol.22, No.10(2000) 1090-1104
6. Yuille, A. L., Hallinan, P. W., and Cohen, D. S.: Feature extraction from faces using deformable template. Int. J. Computer Vision. Vol.8, No.2(1992)99-111
7. Pentland, A., Moghanddam, B., Starner, T.: View-based and modular eigenspaces for face recognition. IEEE conference on CVPR, Seattle, June (1994) 84-91
8. Bruneli, R., Poggio T.: Face Recognition: features versus templates. IEEE Trans. on PAMI. Vol.15, No.10(1993) 1042-1052
9. Beymer, D. J.: Face recognition under varying pose. Proc. of IEEE conference on CVPR, Seattle, June (1994) 756-761
10. Chow, G., Li X.: Towards a system for automatic facial feature detection. Pattern Recognition. Vol.26, No.12(1993) 1739-1755
11. Kawaguchi, T., Rizon, M.: Iris detection using intensity and edge information. Pattern Recognition. Vol. 36, No.2 (2003) 549-562
12. Achermann, B.:The face database of University of Bern, http://iamwww.unibe.ch/~fkiwww/staff/achermann.html. Institute of Computer science and Application Mathematics, University of Bern, Switzerland (1995)
13. Martinez, A. M. and Benavente, R.: The AR Face Database. CVC Technical Report #24, June (1998)
14. Song, J., Chi, Z., Liu, J. and Fu H.: Extraction of Face Image Edges with Application to Expression Analysis, Proceedings of the 8th International Conference on Control, Automation, Robotics and Vision (ICARCV), Kunming, China, December (2004) 804-809
15. Jesorsky, O., Kirchberg, K. J., and Frischholz R.W.: Robust Face detection using the Hausdorff distance. Proc. of the Third International Conference on Audio- and Video-based Biometric Person Authentication, Halmstad, Sweden, 6-8 June (2001) 90-95
16. Zhu, Z., Fujimura, K., Ji, Q.: Real-time eye detection and tracking under various light conditions. http://www.ecse.rpi.edu/homepages/qji/papers/Acmpaper.pdf