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Study on semiautomatic object segmentation technique for 2D/3D conversion

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dc.contributor.authorKim, J.S.-
dc.contributor.authorWhangbo, T.K.-
dc.date.available2020-02-28T18:47:08Z-
dc.date.created2020-02-12-
dc.date.issued2014-01-
dc.identifier.issn0973-4562-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/13107-
dc.description.abstractGrabCut Algorithm is an efficient and iterative approach for object segmentation in complex environment with user interaction. But its segmentation results depend on the initial Tripmap specified by the users. in this paper suggests the semiautomatic object segmentation technique for 2D to 3D conversion using GrabCut Algorithm. The suggested method is to perform object segmentation automatically in the next frame after using the result from GrabCut for the first frame in image sequence, and then mat the object region for easy 2D to 3D conversion by using the snake algorithm. When the suggested method is applied, it shows the result of detecting an object more effectively than the existing GrabCut algorithm even when the distribution of foreground and background color is similar. © 2014, Research India Publications.-
dc.language영어-
dc.language.isoen-
dc.publisherResearch India Publications-
dc.relation.isPartOfInternational Journal of Applied Engineering Research-
dc.titleStudy on semiautomatic object segmentation technique for 2D/3D conversion-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.bibliographicCitationInternational Journal of Applied Engineering Research, v.9, no.24, pp.25347 - 25355-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-84937717902-
dc.citation.endPage25355-
dc.citation.startPage25347-
dc.citation.titleInternational Journal of Applied Engineering Research-
dc.citation.volume9-
dc.citation.number24-
dc.contributor.affiliatedAuthorKim, J.S.-
dc.contributor.affiliatedAuthorWhangbo, T.K.-
dc.type.docTypeArticle-
dc.subject.keywordAuthorEnergy function-
dc.subject.keywordAuthorGrabcut-
dc.subject.keywordAuthorObject tracking-
dc.subject.keywordAuthorSegmentation-
dc.subject.keywordAuthorSnake algorithm-
dc.subject.keywordAuthorTrimap-
dc.description.journalRegisteredClassscopus-
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Whangbo, Taeg Keun
College of IT Convergence (컴퓨터공학부(컴퓨터공학전공))
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