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dc.contributor.authorJing, Min-Quanen_US
dc.contributor.authorCheny, Ling-Hweien_US
dc.date.accessioned2014-12-08T15:06:59Z-
dc.date.available2014-12-08T15:06:59Z-
dc.date.issued2010-05-01en_US
dc.identifier.issn0218-0014en_US
dc.identifier.urihttp://dx.doi.org/10.1142/S0218001410008020en_US
dc.identifier.urihttp://hdl.handle.net/11536/5460-
dc.description.abstractThe 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%.en_US
dc.language.isoen_USen_US
dc.subjectFace detectionen_US
dc.subjectvarious lighting environmentsen_US
dc.subjecteye lineen_US
dc.subjectskin coloren_US
dc.titleA NOVEL METHOD FOR HORIZONTAL EYE LINE DETECTION UNDER VARIOUS ENVIRONMENTSen_US
dc.typeArticleen_US
dc.identifier.doi10.1142/S0218001410008020en_US
dc.identifier.journalINTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCEen_US
dc.citation.volume24en_US
dc.citation.issue3en_US
dc.citation.spage475en_US
dc.citation.epage498en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000280376500008-
dc.citation.woscount1-
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