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dc.contributor.authorAndriasyan, Mesrop
dc.contributor.authorMoyano Campos, Juan José
dc.contributor.authorNieto Julián, Juan Enrique
dc.contributor.authorAntón García, Daniel
dc.date.accessioned2021-09-30T08:26:41Z
dc.date.available2021-09-30T08:26:41Z
dc.date.issued2020
dc.identifier.citationAndriasyan, M.; Moyano, J.; Nieto-Julián, J.E.; Antón, D. From Point Cloud Data to Building Information Modelling: An Automatic Parametric Workflow for Heritage. Remote Sens. 2020, 12, 1094. https://doi.org/10.3390/rs12071094es
dc.identifier.issn20724292
dc.identifier.urihttp://hdl.handle.net/20.500.12251/1912
dc.description.abstractBuilding Information Modelling (BIM) is a globally adapted methodology by government organisations and builders who conceive the integration of the organisation, planning, development and the digital construction model into a single project. In the case of a heritage building, the Historic Building Information Modelling (HBIM) approach is able to cover the comprehensive restoration of the building. In contrast to BIM applied to new buildings, HBIM can address different models which represent either periods of historical interpretation, restoration phases or records of heritage assets over time. Great efforts are currently being made to automatically reconstitute the geometry of cultural heritage elements from data acquisition techniques such as Terrestrial Laser Scanning (TLS) or Structure From Motion (SfM) into BIM (Scan-to-BIM). Hence, this work advances on the parametric modelling from remote sensing point cloud data, which is carried out under the Rhino+Grasshopper-ArchiCAD combination. This workflow enables the automatic conversion of TLS and SFM point cloud data into textured 3D meshes and thus BIM objects to be included in the HBIM project. The accuracy assessment of this workflow yields a standard deviation value of 68.28 pixels, which is lower than other author's precision but suffices for the automatic HBIM of the case study in this research. © 2020, by the authors.es
dc.language.isoenges
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleFrom point cloud data to Building Information Modelling: An automatic parametric workflow for heritagees
dc.typearticlees
dc.identifier.doi10.3390/rs12071094
dc.identifier.urlhttps://doi.org/10.3390/rs12071094es
dc.issue.number7es
dc.journal.titleRemote Sensinges
dc.rights.accessRightsopenAccesses
dc.subject.keywordPatrimonio culturales
dc.subject.keywordModelado tridimensionales
dc.subject.keywordNube de puntoses
dc.subject.keywordEscáner Láser 3Des
dc.subject.keywordBuilding Information Modeling (BIM)es
dc.subject.keywordRestauración monumentales
dc.subject.keywordHistoric Building Information Modelling (HBIM)es
dc.subject.unesco6305.02 Elaboración de Modeloses
dc.subject.unesco1203.26 Simulaciónes
dc.subject.unesco1203.09 Diseño Con Ayuda del Ordenadores
dc.subject.unesco3305.26 Edificios Públicoses
dc.subject.unesco3305.34 Topografía de la Edificaciónes
dc.subject.unesco5506.01 Historia de la Arquitecturaes
dc.volume.number12es
dc.item.number1094es


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