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Contour extraction of facial feature components using template based snake algorithm

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dc.contributor.authorWeon, S.-
dc.contributor.authorLee, K.-
dc.contributor.authorKim, G.-
dc.date.available2019-04-10T11:23:50Z-
dc.date.created2018-04-17-
dc.date.issued2007-
dc.identifier.isbn9783540744689-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/33765-
dc.description.abstractWe propose a face and completely facial feature extraction model for facial expression applications. This model applies to both face contour detection and face region detection. First, we introduce skin-color filtering using YCbCr color space to extract the skin-color of face the region. Second, the template ACM is modeled by the active contour model. This model is more active than ASM (Active Shape Model). Our algorithm has been tested in experiments with various subjects, producing a good extraction results. © Springer-Verlag Berlin Heidelberg 2007.-
dc.relation.isPartOfLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.titleContour extraction of facial feature components using template based snake algorithm-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitationInternational Conference on Computational Science and its Applications, ICCSA 2007, v.4705 LNCS, no.PART 1, pp.1034 - 1044-
dc.description.journalClass2-
dc.identifier.scopusid2-s2.0-38049012514-
dc.citation.conferenceDate2007-08-26-
dc.citation.conferencePlaceKuala Lumpur-
dc.citation.endPage1044-
dc.citation.numberPART 1-
dc.citation.startPage1034-
dc.citation.titleInternational Conference on Computational Science and its Applications, ICCSA 2007-
dc.citation.volume4705 LNCS-
dc.contributor.affiliatedAuthorKim, G.-
dc.type.docTypeConference Paper-
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