Eyes location using a neural network

Authors:
Xiao-yi Feng;Li-ping Yang;Zhi Dang;Matti Pietikäinen
Affiliations:
College of Electronics and Information, Northwestern Polytechnic University, Xi’an, China;College of Electronics and Information, Northwestern Polytechnic University, Xi’an, China;College of Electronics and Information, Northwestern Polytechnic University, Xi’an, China;Machine Vision Group, Infotech Oulu and Dept. of Electrical and Information Engineering, University of Oulu, Finland
Venue:
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Year:
2006

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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.