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dc.contributor.authorStupariu, Mihai-Sorin
dc.contributor.editorSkala, Václav
dc.date.accessioned2018-04-12T08:58:00Z-
dc.date.available2018-04-12T08:58:00Z-
dc.date.issued2016
dc.identifier.citationWSCG 2016: poster papers proceedings: 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 87-90.en
dc.identifier.isbn978-80-86943-59-6
dc.identifier.issn2464-4617
dc.identifier.uriwscg.zcu.cz/WSCG2016/!!_CSRN-2603.pdf
dc.identifier.urihttp://hdl.handle.net/11025/29601
dc.description.abstractThis contribution presents the results of a work in progress, attempting to use discrete curvature for triangle meshes in order to automatically identify specific structures in remote sensing data. Specifically, the focus was on determining isolated trees, on the basis of data acquired through airborne laser scanning. Five methods for discrete curvatures were tested and compared for a triangle mesh derived from a high density point cloud. The best performance was obtained for the mean curvature computed by using the shape operator.en
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.relation.ispartofseriesWSCG 2016: poster papers proceedingsen
dc.rights© Václav Skala - Union Agencycs
dc.subjectdiskrétní zakřivenícs
dc.subjectdetekce tvarucs
dc.subjectLiDAR bodová mračnacs
dc.subjecttransformace hloubkycs
dc.titleAn application of triangle mesh models in detecting patterns of vegetationen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translateddiscrete curvaturesen
dc.subject.translatedshape detectionen
dc.subject.translatedLiDAR point clouden
dc.subject.translatedhough transformen
dc.type.statusPeer-revieweden
Appears in Collections:WSCG 2016: Poster Papers Proceedings

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