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-May-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 |
Appears in Collections: | Articles |
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