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dc.contributor.authorKenichi, Sugihara
dc.contributor.editorSkala, Václav
dc.date.accessioned2019-10-22T10:35:48Z
dc.date.available2019-10-22T10:35:48Z
dc.date.issued2019
dc.identifier.citationWSCG 2019: full papers proceedings: 27. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 101-109.en
dc.identifier.isbn978-80-86943-37-4 (CD/-ROM)
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464-4625 (CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/35614
dc.format9 s.cs
dc.format.mimetypeapplication/odt
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.subjectautomatické generovánícs
dc.subject3D model budovycs
dc.subjectrovná kostracs
dc.subjectbudování stopycs
dc.subjectGIScs
dc.titleStraight Skeleton Computation Optimized for Roof Model Generationen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translated3D building models with roofs are important in several fields, such as urban planning and BIM (Building Information Model). However, enormous time and labor are required to create these 3D models. In order to automate laborious steps, a GIS and CG integrated system is proposed for the automatic generation of 3D building models, based on building polygons (building footprints) on digital maps. The generation is implemented through straight skeleton computation, in which three events (‘Edge’ and ‘Split’, ‘Vertex’ events) were proposed. In the computation process, usually three edges propagate into a node. Often it causes an acute angle shape that is not appropriate for roof boards. To avoid the inappropriate shape, in this paper, methodologies are proposed for adding ‘Line segment’ events besides the conventional events, and monotone polygon nodes sorting.en
dc.subject.translatedautomatic generationen
dc.subject.translated3D building modelen
dc.subject.translatedstraight skeletonen
dc.subject.translatedbuilding footprinten
dc.subject.translatedGISen
dc.identifier.doihttps://doi.org/10.24132/CSRN.2019.2901.1.12
dc.type.statusPeer-revieweden
Appears in Collections:WSCG 2019: Full Papers Proceedings

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