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얼굴 영상에서의 안경검출 연구

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dc.contributor.author정성기-
dc.contributor.author백두원-
dc.contributor.author최형일-
dc.date.available2018-05-09T08:18:54Z-
dc.date.created2018-04-17-
dc.date.issued2015-12-
dc.identifier.issn1598-849X-
dc.identifier.urihttp://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/9394-
dc.description.abstractIn this paper, we propose a method of glasses detection in facial image. we develop a detection method of glasses with a weighted sum of the results that detected by facial element detection and glasses frame candidate region. Component of the face detection method detects the glasses, by defining the detection probability of the glasses according to the detection of a face component. Method using the candidate region of the glasses frame detects the glasses, by defining feature of the glasses frame in the candidate region. finally, The results of the combined weight of both methods are obtained. The proposed method in this paper is expected to increase security system's recognition on facial accessories by raising detection performance of glasses or sunglasses for using ATM-
dc.language한국어-
dc.language.isoko-
dc.publisher한국컴퓨터정보학회-
dc.relation.isPartOf한국컴퓨터정보학회논문지-
dc.subjectGlasses detection-
dc.subjectfacial image-
dc.subjectATM(Automated teller machine)-
dc.title얼굴 영상에서의 안경검출 연구-
dc.title.alternativeA Study on Detecting Glasses in Facial Image-
dc.typeArticle-
dc.type.rimsART-
dc.identifier.bibliographicCitation한국컴퓨터정보학회논문지, v.20, no.12, pp.21 - 28-
dc.identifier.kciidART002064485-
dc.description.journalClass2-
dc.citation.endPage28-
dc.citation.number12-
dc.citation.startPage21-
dc.citation.title한국컴퓨터정보학회논문지-
dc.citation.volume20-
dc.contributor.affiliatedAuthor백두원-
dc.contributor.affiliatedAuthor최형일-
dc.identifier.urlhttps://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002064485-
dc.description.isOpenAccessN-
dc.subject.keywordAuthorGlasses detection-
dc.subject.keywordAuthorfacial image-
dc.subject.keywordAuthorATM(Automated teller machine)-
dc.description.journalRegisteredClasskci-
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