Abstract
This paper presents a method for eyes location using a two-level hierarchy of SVM (Support Vector Machines) classifiers. On the first level, a two-eye region classifier is obtained by training the SVM using grayscale projections of the two-eye region images. Utilizing this classifier, the region where the two eyes lie can be located by searching the whole face image. On the second level, the left and right eye classifier are obtained by training SVM using grayscale of left and right eye images respectively. Using these two classifiers, the two eyes can be precisely located by searching the output region of the first level. Experimental results show that this method is sufficiently generic and can cope with more various image conditions than exiting techniques.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Rizon, M., Kawaguchi, T.: Automatic eye detection using intensity and edge information. In: TENCON Proceedings, vol. 2, pp. 415–420 (2000)
Tao, L., Kwan, H.K.: Automatic localization of human eyes in complex background. In: IEEE International Symposium on Circuits and Systems Proceedings, vol. 5, pp. 669–672 (2002)
Yang, H., Yuan, B.Z.: Feature extraction in human face recognition system. In: 5th International Conference on Signal Processing Proceedings, vol. 2, pp. 1273–1276 (2000)
Kumar, R.T., Raja, S.K., Ramakrishnan, A.G.: Eye detection using color cues and projection functions. In: Proceedings of International Conference on Image Processing, vol. 3, pp. III-337–III-340 (2002)
Huang, W.M., Mariani, R.: Face detection and precise eyes location. In: Proceedings of the 15th International Conference on Pattern Recognition, vol. 4, pp. 722–727 (2000)
Lam, K.M., Yan, H.: An Improved Method for Locating and Extracting the Eye in Human Face Images. In: Proceedings of the 13th International Conference on Pattern Recognition, vol. 3, pp. 411–415 (1996)
Huang, W.J., Yin, B.C., Jiang, C.Y., Miao, J.: A new approach for eye feature extraction using 3D eye template. In: Proceedings of International Symposium on Intelligent Multimedia, Video and Speech Processing, pp. 340–343 (2001)
Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer, New York (1995)
Platt., J.: Sequential Minimal Optimization: A fast algorithm for training support vector machines. Technical Report MSR-TR-98-14, Microsoft Research (1998)
The ORL Database of Faces, http://www.uk.research.att.com:pub/data/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, Y., Ou, Z. (2004). Eyes Location by Hierarchical SVM Classifiers. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks – ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28647-9_100
Download citation
DOI: https://doi.org/10.1007/978-3-540-28647-9_100
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22841-7
Online ISBN: 978-3-540-28647-9
eBook Packages: Springer Book Archive