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dc.contributor.authorSelman, Zainen_US
dc.contributor.authorMusto, Juanen_US
dc.contributor.authorKobbelt, Leifen_US
dc.contributor.editorPonchio, Federicoen_US
dc.contributor.editorPintus, Ruggeroen_US
dc.date.accessioned2022-09-26T09:59:47Z
dc.date.available2022-09-26T09:59:47Z
dc.date.issued2022
dc.identifier.isbn978-3-03868-178-6
dc.identifier.issn2312-6124
dc.identifier.urihttps://doi.org/10.2312/gch.20221215
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/gch20221215
dc.description.abstractPreservation of cultural heritage is important to prevent singular objects or sites of cultural importance to decay. One aspect of preservation is the creation of a digital twin. In case of a catastrophic event, this twin can be used to support repairs or reconstruction, in order to stay faithful to the original object or site. Certain activities in prolongation of such an objects lifetime may involve adding or replacing structural support elements to prevent a collapse. We propose an automatic method that is capable of transforming a point cloud into a geometric representation that is suitable for structural analysis. We robustly find cuboids and their connections in a point cloud to approximate the wooden beam structure contained inside. We export the necessary information to perform structural analysis, on the example of the timber attic of the UNESCO World Heritage Aachen Cathedral. We provide evaluation of the resulting cuboids' quality and show how a user can interactively refine the cuboids in order to improve the approximated model, and consequently the simulation results.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies --> Point-based models; Applied computing --> Engineering; Digital libraries and archives
dc.subjectComputing methodologies
dc.subjectPoint
dc.subjectbased models
dc.subjectApplied computing
dc.subjectEngineering
dc.subjectDigital libraries and archives
dc.titleScan2FEM: From Point Clouds to Structured 3D Models Suitable for Simulationen_US
dc.description.seriesinformationEurographics Workshop on Graphics and Cultural Heritage
dc.description.sectionheadersSession 1
dc.identifier.doi10.2312/gch.20221215
dc.identifier.pages1-10
dc.identifier.pages10 pages


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License