A NOVEL METHOD FOR HORIZONTAL EYE LINE DETECTION UNDER VARIOUS ENVIRONMENTS

Min-Quan Jing, Ling-Hwei Chen

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

The eye line is defined to be a horizontal line passing the two eyes of a human face. It can be used to help locate the true positions of eyes and face. In this paper, we propose a method to extract the horizontal eye line of a face under various environments. Based on the facts that the eye color is very different from skin color and the gray level variance of an eye is high, some eye-like regions are first located. Then the horizontal eye line is extracted based on the located eye-like regions and some geometric properties in a face. Experimental results are given to show that the proposed method is robust under a wide range of lighting conditions, different poses and races. The detection rate for HHI face database is 95.63%. For Champion face database, the detection rate is 94.27%.
Original languageEnglish
Pages (from-to)475-498
Number of pages23
JournalInternational Journal of Pattern Recognition and Artificial Intelligence
Volume24
Issue number3
DOIs
StatePublished - May 2010

Keywords

  • Face detection; various lighting environments; eye line; skin color

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