Human face recognition based on spatially weighted Hausdorff distance

Pattern Recognition Letters

Volumn 24, Issue 1-3, 2003, Pages 499-507

  Guo, Baofeng ^a   Lam, Kin Man ^a   Lin, Kwan Ho ^a   Siu, Wan Chi ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Face recognition; Facial feature detection; Modified Hausdorff distance; Principal component analysis

Indexed keywords

DISTANCE MEASUREMENT; IMAGE ANALYSIS; INFORMATION ANALYSIS;

HUMAN FACES;

FACE RECOGNITION;

IMAGE CLASSIFICATION;

EID: 0037233351     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(02)00272-6     Document Type: Article

References (22)

1. Achermann, B., Bunke, H., 2000. Classifying range images of human faces with Hausdorff distance. In: Proc. 15th Internat. Conf. Pattern Recognition, Vol. 2, pp. 809-813.
2. Belhumeur, P., Hespanha, J., Kriegman, D., 1997. Eigenfaces vs. fisherfaces: recognition using class specific linear projection. IEEE Trans. Pattern Anal. Machine Intell. 19 (7), 711-720.
3. Brunelli, R., Poggio, T., 1993. Face recognition: features versus templates. IEEE Trans. Pattern Anal. Machine Intell. 15 (10), 1042-1052.
4. Chellappa, R., Wilson, C.L., Sirohey, S., 1995. Human and machine recognition of faces: a survey. Proc. IEEE 83 (5), 705-740.
5. Dubuisson, M.P., Jain, A.K., 1994. A modified Hausdorff distance for object matching. In: Proc. 12th Internat. Conf. Pattern Recognition, Jerusalem, Israel, October 1994, pp. 566-568.
6. Fu, Y., 1986. Handbook of Pattern Recognition and Image Processing. Academic Press, New York.
7. Gonzalez, R.C., Woods, R.E., 1993. Digital Image Processing. Addison Wesley Publishing Company.
8. Guo, B., Lam, K.M., Siu, W.C., Yang, S., 2001. Human face recognition using a spatially weighted Hausdorff distance. In: Proc. 2001 IEEE Internat. Symp. Circuits Systems, Vol. 2, pp. 145-148.
9. Huttenlocher, D.P., Klanderman, G.A., Rucklidge, W.J., 1993. Comparing images using the Hausdorff distance. IEEE Trans. Pattern Anal. Machine Intell. 15 (9), 850-863.
10. Kirby, M., Sirovich, L., 1990. Application of the Karhunen-Loeve procedure for the characterization of human faces. IEEE Trans. Pattern Anal. Machine Intell. 12 (1), 103-108.
11. Kwon, O.K., Sim, D.G., Park, R.H., 1996. New Hausdorff distances based on robust statistics for comparing images. In: Proc. Internat. Conf. Image Process., Vol. 3, pp. 21-24.
12. Lades, M., Lange, J.J., Malsburg, C., Wurtz, R., Konen, W., 1993. Distortion invariant object recognition in the dynamic link architecture. IEEE Trans. Comput. 42 (3), 300-311.
13. Lawrence, S., Giles, C., Tsoi, A., Back, A., 1997. Face recognition: a convolutional neural-network approach. IEEE Trans. Neural Networks 81 (1), 98-113.
14. Lam, K.M., Yan, H., 1998. An analytic-to-holistic approach for face recognition based on a single front view. IEEE Trans. Pattern Anal. Machine Intell. 20 (7), 673-686.
15. Lam, K.M., Yan, H., 1996. Locating and extracting the eye in human face images. Pattern Recognition 29 (5), 771-779.
16. Lin, K.H., Guo, B., Lam, K.M., Siu, W.C., 2001. Human face recognition using spatially weighted modified Hausdorff distance. In: Proc. 2001 Internat. Symp. Intell. Multimedia, Video Speech Process., pp. 477-480.
17. Samal, Iyengar, P.A., 1992. Automatic recognition and analysis of human faces and facial expressions: a survey. Pattern Recognition 25 (1), 65-77.
18. Sim, D.G., Kwon, O.K., Park, R.H., 1999. Object matching algorithms using robust Hausdorff distance measures. IEEE Trans. Image Process. 8 (3), 425-429.
19. Srisuk, S., Kurutach, W., 2001. New robust Hausdorff distance-based face detection. In: Proc. 2001 Internat. Conf. Image Process., Vol. 1, pp. 1022-1025.
20. Takács, B., 1998. Comparing face images using the modified Hausdorff distance. Pattern Recognition 31 (12), 1873-1880.
21. Turk, M., Pentland, A., 1991. Eigenfaces for recognition. J. Cognit. Neurosci. 3 (1), 81-86.
22. Zhang, J., Yan, Y., Lades, M., 1997. Face recognition: eigenface, elastic matching, and neural nets. Proc. IEEE 85 (9), 1423-1435.