Abstract
This paper proposed a neural network based method for eyes location. In our work, face area is first located initially using an illumination invariant face skin model; Then, it is segmented by the combination of image transformation and a competitive Hopfield neural network (CHNN) and facial feature candidates such as eyes, eyebrows and mouth are obtained; Finally, eyes are located by facial features evaluation and validation, which is based on face’s geometrical structures. Experimental results show that our system performs well under not good lighting conditions.
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© 2006 Springer-Verlag Berlin Heidelberg
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Feng, Xy., Yang, Lp., Dang, Z., Pietikäinen, M. (2006). Eyes Location Using a Neural Network. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760023_69
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DOI: https://doi.org/10.1007/11760023_69
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34437-7
Online ISBN: 978-3-540-34438-4
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