Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/75304
Title: Locating human eyes using edge and intensity information
Authors: Song, J 
Chi, Z 
Wang, Z
Wang, W
Issue Date: 2005
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2005, v. 3645 LNCS, no. , p. 492-501 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
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.
Description: International Conference on Intelligent Computing, ICIC 2005: Advances in Intelligent Computing, 23-26 August 2005, Hefei, China
URI: http://hdl.handle.net/10397/75304
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/11538356_51
Appears in Collections:Conference Paper

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