Abstract

Robust non-intrusive eye location plays an important role in vision-based man-machine interaction. A modified Hausdorff distance based measure to localize the eyes is proposed, which could tolerate various changes in eye pose, shape, and scale. To eliminate the effects of the illumination variations, an 8-neighbour-based transformation of the gray images is proposed. The transformed image is less sensitive to illumination changes while preserves the appearance information of eyes. All the localized candidates of eyes are identified by back-propagation neural networks. Experiments demonstrate that the robust method for eye location is able to localize eyes with different eye sizes, shapes, and poses under different illuminations.

© 2010 Chinese Optics Letters

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2008 (1)

2004 (1)

2003 (1)

B. Guo, K.-M. Lam, K.-H. Lin, and W.-C. Siu, Pattern Recogn. Lett. 24, 499 (2003).

2002 (1)

K. J. Kirchberg, O. Jesorsky, and R. W. Frischholz, Lecture Notes in Computer Science 2359, 103 (2002).

1996 (1)

K.-M. Lam and H. Yan, Pattern Recogn. 29, 771 (1996).

1992 (1)

A. L. Yuille, P. W. Hallinan, and D. S. Cohen, Int. J. Comput. Vis. 8, 99 (1992).

Chen, X.

Cohen, D. S.

A. L. Yuille, P. W. Hallinan, and D. S. Cohen, Int. J. Comput. Vis. 8, 99 (1992).

Frischholz, R. W.

K. J. Kirchberg, O. Jesorsky, and R. W. Frischholz, Lecture Notes in Computer Science 2359, 103 (2002).

Guo, B.

B. Guo, K.-M. Lam, K.-H. Lin, and W.-C. Siu, Pattern Recogn. Lett. 24, 499 (2003).

Hallinan, P. W.

A. L. Yuille, P. W. Hallinan, and D. S. Cohen, Int. J. Comput. Vis. 8, 99 (1992).

Jesorsky, O.

K. J. Kirchberg, O. Jesorsky, and R. W. Frischholz, Lecture Notes in Computer Science 2359, 103 (2002).

Jing, Z.

Kirchberg, K. J.

K. J. Kirchberg, O. Jesorsky, and R. W. Frischholz, Lecture Notes in Computer Science 2359, 103 (2002).

Lam, K.-M.

B. Guo, K.-M. Lam, K.-H. Lin, and W.-C. Siu, Pattern Recogn. Lett. 24, 499 (2003).

K.-M. Lam and H. Yan, Pattern Recogn. 29, 771 (1996).

Li, J.

Lin, K.-H.

B. Guo, K.-M. Lam, K.-H. Lin, and W.-C. Siu, Pattern Recogn. Lett. 24, 499 (2003).

Pan, J.-S.

Siu, W.-C.

B. Guo, K.-M. Lam, K.-H. Lin, and W.-C. Siu, Pattern Recogn. Lett. 24, 499 (2003).

Sun, S.

Xiao, G.

Yan, H.

K.-M. Lam and H. Yan, Pattern Recogn. 29, 771 (1996).

Yuille, A. L.

A. L. Yuille, P. W. Hallinan, and D. S. Cohen, Int. J. Comput. Vis. 8, 99 (1992).

Chin. Opt. Lett. (2)

Int. J. Comput. Vis. (1)

A. L. Yuille, P. W. Hallinan, and D. S. Cohen, Int. J. Comput. Vis. 8, 99 (1992).

Lecture Notes in Computer Science (1)

K. J. Kirchberg, O. Jesorsky, and R. W. Frischholz, Lecture Notes in Computer Science 2359, 103 (2002).

Pattern Recogn. (1)

K.-M. Lam and H. Yan, Pattern Recogn. 29, 771 (1996).

Pattern Recogn. Lett. (1)

B. Guo, K.-M. Lam, K.-H. Lin, and W.-C. Siu, Pattern Recogn. Lett. 24, 499 (2003).

Other (4)

A. Pentland, B. Moghaddam, and T. Starner, in Proceedings of IEEE Conference on Computer Vision & Pattern Recognition 84 (1994).

D. P. Huttenlocher, G. A. Klanderman, and W. J. Rucklidge, IEEE Trans. Pattern Anal. Mach. Intell. 15, 850(1993).

S. Haykin, Neural Networks: A Comprehensive Foundation (2nd edn.)(Prentice Hall, Englewood Cliffs, 1998).

S. Marcel, Y. Rodriguez, and G. Heusch, International Journal of Image and Video Processing, Special Issue on Facial Image Processing 1 (2007).

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