Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/12047
Title: Precisely locating human eyes from front-view face images
Authors: Song, J
Liu, J
Chi, Z 
Wang, W
Keywords: Eyes localization
Face image processing
Grayscale mathematical morphology
Valley map
Issue Date: 2005
Publisher: 中國學術期刊(光盤版)電子雜誌社
Source: 计算机辅助设计与图形学学报 (Journal of computer-aided design and computer graphics), 2005, v. 17, no. 3, p. 540-545 How to cite?
Journal: 计算机辅助设计与图形学学报 (Journal of computer-aided design and computer graphics) 
Abstract: In this paper, a novel method for automatic localization of human eyes from front-view face images is presented. By applying the grayscale morphology operation to a face image, we can obtain a valley map with a good property in which as a whole the number of pixels at a grayscale decreases significantly as the grayscale level increases. The valley map is then binarized with a set of threshold values determined adaptively, and several candidate eye locations are detected from the resultant binary images. The final eye positions are determined using a Principle Component Analysis (PCA) method. Experimental results on the AR, Yale and our own face image databases show that the correct eye location rate is over 93% and the location disparity on average is below 1/3 of the radius of an eye ball.
URI: http://hdl.handle.net/10397/12047
ISSN: 1003-9775
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