Locating human eyes using edge and intensity information

Jiatao Song, Zheru Chi, Zhengyou Wang, Wei Wang

Research output: Journal article publicationConference articleAcademic researchpeer-review

4 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)492-501
Number of pages10
JournalLecture Notes in Computer Science
Issue numberPART II
Publication statusPublished - 31 Oct 2005
EventInternational Conference on Intelligent Computing, ICIC 2005 - Hefei, China
Duration: 23 Aug 200526 Aug 2005

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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