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Cited 68 time in webofscience Cited 96 time in scopus
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dc.contributor.authorPark, H-
dc.contributor.authorKim, K-
dc.contributor.authorLee, SC-
dc.date.accessioned2016-03-31T13:32:56Z-
dc.date.available2016-03-31T13:32:56Z-
dc.date.created2009-03-20-
dc.date.issued2000-04-
dc.identifier.issn0010-4485-
dc.identifier.other2000-OAK-0000001226-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/20072-
dc.description.abstractThis paper presents an approximate method for making a set of NURBS curves of various types compatible. The method is based on refitting input curves simultaneously on a common knot vector while making the refitted curves have parametrically regular transition across curves. It adopts a concept of reducing the number of interior knots of the common knot vector to acquire more compact representation for the resultant curves. It also incorporates energy minimization in the curie refitting process to stabilize the solution of the curve fitting problem and to get smooth curves. The proposed method can be utilized in several construction tasks including surface skinning and surface creation from a mesh of curves. It plays an important role in improving the quality of surfaces and realizing efficient reduction of their control points especially when the parameterization and the compatibility of input curves are not good enough. Some experimental results demonstrate its usefulness and quality. (C) 2000 Elsevier Science Ltd. All rights reserved.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherELSEVIER SCI LTD-
dc.relation.isPartOfCOMPUTER-AIDED DESIGN-
dc.subjectNURBS curve compatibility-
dc.subjectdata reduction-
dc.subjectB-spline curve fitting-
dc.subjectconstrained quadratic functional optimization-
dc.subjectenergy minimization-
dc.subjectSMOOTH-SURFACE APPROXIMATION-
dc.subjectB-SPLINE-
dc.subjectMINIMIZATION-
dc.subjectPOINTS-
dc.titleA method for approximate NURBS curve compatibility based on multiple curve refitting-
dc.typeArticle-
dc.contributor.college산업경영공학과-
dc.identifier.doi10.1016/S0010-4485(99)00088-3-
dc.author.googlePark, H-
dc.author.googleKim, K-
dc.author.googleLee, SC-
dc.relation.volume32-
dc.relation.issue4-
dc.relation.startpage237-
dc.relation.lastpage252-
dc.contributor.id10078551-
dc.relation.journalCOMPUTER-AIDED DESIGN-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCI-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationCOMPUTER-AIDED DESIGN, v.32, no.4, pp.237 - 252-
dc.identifier.wosid000086096500001-
dc.date.tcdate2019-01-01-
dc.citation.endPage252-
dc.citation.number4-
dc.citation.startPage237-
dc.citation.titleCOMPUTER-AIDED DESIGN-
dc.citation.volume32-
dc.contributor.affiliatedAuthorKim, K-
dc.identifier.scopusid2-s2.0-0033882490-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc57-
dc.type.docTypeArticle-
dc.subject.keywordPlusSMOOTH-SURFACE APPROXIMATION-
dc.subject.keywordPlusB-SPLINE-
dc.subject.keywordPlusMINIMIZATION-
dc.subject.keywordPlusPOINTS-
dc.subject.keywordAuthorNURBS curve compatibility-
dc.subject.keywordAuthordata reduction-
dc.subject.keywordAuthorB-spline curve fitting-
dc.subject.keywordAuthorconstrained quadratic functional optimization-
dc.subject.keywordAuthorenergy minimization-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-

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김광수KIM, KWANG SOO
Dept of Industrial & Management Enginrg
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