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dc.contributor.authorBoltcheva, Dobrina
dc.contributor.authorBasselin, Justine
dc.contributor.authorPoull, Clément
dc.contributor.authorBarthélemy, Hérvé
dc.contributor.authorSokolov, Dmitry
dc.contributor.editorSkala, Václav
dc.date.accessioned2020-07-24T07:52:32Z-
dc.date.available2020-07-24T07:52:32Z-
dc.date.issued2020
dc.identifier.citationJournal of WSCG. 2020, vol. 28, no. 1-2, p. 137-146.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (on-line)
dc.identifier.urihttp://wscg.zcu.cz/WSCG2020/2020-J_WSCG-1-2.pdf
dc.identifier.urihttp://hdl.handle.net/11025/38435
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectautomatické modelování střechycs
dc.subjectextrakce funkcícs
dc.subjectgraf topologiecs
dc.subjectpolygonální modelcs
dc.subject3D bodový mrakcs
dc.titleTopological-based roof modeling from 3D point cloudsen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedAutomatic extraction of building roofs from remote sensing data is important for many applications including 3D city modeling, urban planning, disaster management, and simulations. In this paper, we propose an automatic workflow for roof reconstruction by polygonal models from classified high-density LIDAR data. Roof planes are initially delineated by a segmentation algorithm combining a robust Hough-based normal estimator and a region growing strategy. Then, each roof is modeled by a 2D a-shape mesh which is used to discover not only building outline but also all ridges defined by intersecting roof planes, without any geometrical calculations. The mesh directly encodes the topological relations between neighboring planes which allows us to build the final polygonal model straightforwardly. This topological approach makes our solution more simple and robust than existing methods which mostly extract the intersection lines by means of geometrical computations. Experimental results show that the proposed workflow offers a high success rate for extraction at plane level (94% completeness, 92.7% correctness, 90.8% quality) when LIDAR point density is sufficiently high.en
dc.subject.translatedautomatic roof modelingen
dc.subject.translatedfeature extractionen
dc.subject.translatedtopology graphen
dc.subject.translatedpolygonal modelen
dc.subject.translated3D point clouden
dc.identifier.doihttps://doi.org/10.24132/JWSCG.2020.28.17
dc.type.statusPeer-revieweden
Appears in Collections:Volume 28, Number 1-2 (2020)

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/38435

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