Locating human eyes using edge and intensity information

Authors:
Jiatao Song;Zheru Chi;Zhengyou Wang;Wei Wang
Affiliations:
College of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, P. R. China;Centre for Multimedia Signal Processing, Department of Electronic and Information, Engineering, the Hong Kong Polytechnic University, Hong Kong;School of Information Technology, Jiangxi University of Finance & Economics, Nanchang, China;College of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, P. R. China
Venue:
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
Year:
2005

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Abstract

In this paper, a new eye detection method is presented. The method consists of three steps: (1) extraction of binary edge image (BEI) based on the multi-resolution analysis of wavelet transform; (2) extraction of eye region and segments from BEI, and (3) eye localization using light dot or intensity information. An improved face region extraction algorithm and a light dot detection method are proposed to improve eye detection performance. Experimental results show that our approach can achieve a correct eye detection rate of 98.7% on 150 Bern images with variations in view and gaze direction and a rate of 96.6% on 564 AR images with different facial expressions and lighting conditions.