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Algorithm for 3D shape matching using spherical sectioning

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dc.contributor.authorLee, J.-
dc.contributor.authorPark, J.-
dc.contributor.authorLee, H.-
dc.date.accessioned2022-02-07T07:42:49Z-
dc.date.available2022-02-07T07:42:49Z-
dc.date.created2022-02-07-
dc.date.issued2006-
dc.identifier.issn1009-3095-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/25057-
dc.description.abstract3D shape searching is a problem of current interest in several different fields. Most techniques are developed for a particular domain and used to reduce a shape into a simpler shape representation. The techniques developed for a particular domain will also find application in other domains. We propose a new shape matching method. The SSRD (spherical sectioning railroad diagram) algorithm has the general shape distribution's properties and overall features of the original model. The SSRD's useful properties are discussed. We show the experimental results for the validity of our method.-
dc.language영어-
dc.language.isoen-
dc.titleAlgorithm for 3D shape matching using spherical sectioning-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, H.-
dc.identifier.doi10.1631/jzus.2006.A1508-
dc.identifier.scopusid2-s2.0-33749833508-
dc.identifier.bibliographicCitationJournal of Zhejiang University: Science, v.7, no.9, pp.1508 - 1515-
dc.relation.isPartOfJournal of Zhejiang University: Science-
dc.citation.titleJournal of Zhejiang University: Science-
dc.citation.volume7-
dc.citation.number9-
dc.citation.startPage1508-
dc.citation.endPage1515-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthorShape histogram-
dc.subject.keywordAuthorShape search-
dc.subject.keywordAuthorSimilarity metric-
dc.subject.keywordAuthorSpherical sectioning railroad diagram-
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