Precisely locating human eyes from front-view face images

Jiatao Song, Jilin Liu, Zheru Chi, Wei Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

8 Citations (Scopus)


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.
Original languageChinese (Simplified)
Pages (from-to)540-545
Number of pages6
JournalJisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics
Issue number3
Publication statusPublished - 1 Mar 2005


  • Eyes localization
  • Face image processing
  • Grayscale mathematical morphology
  • Valley map

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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