標題: A NOVEL METHOD FOR HORIZONTAL EYE LINE DETECTION UNDER VARIOUS ENVIRONMENTS
作者: Jing, Min-Quan
Cheny, Ling-Hwei
資訊工程學系
Department of Computer Science
關鍵字: Face detection;various lighting environments;eye line;skin color
公開日期: 1-五月-2010
摘要: 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%.
URI: http://dx.doi.org/10.1142/S0218001410008020
http://hdl.handle.net/11536/5460
ISSN: 0218-0014
DOI: 10.1142/S0218001410008020
期刊: INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
Volume: 24
Issue: 3
起始頁: 475
結束頁: 498
顯示於類別:期刊論文


文件中的檔案:

  1. 000280376500008.pdf