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dc.contributor.authorKhoshelham, Kourosh
dc.contributor.authorTran, H.
dc.contributor.authorAcharya, Debaditya
dc.contributor.authorDíaz Vilariño, Lucía 
dc.contributor.authorKang, Z.
dc.contributor.authorDalyot, S.
dc.date.accessioned2021-07-20T08:31:39Z
dc.date.available2021-07-20T08:31:39Z
dc.date.issued2020-08-24
dc.identifier.citationISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, XLIII-B5-2020, 207–211, (2020)spa
dc.identifier.issn21949034
dc.identifier.urihttp://hdl.handle.net/11093/2361
dc.description.abstractAutomated 3D reconstruction of indoor environments from point clouds has been a topic of intensive research in recent years. Different methods developed for the generation of 3D indoor models have achieved promising results on different case studies. However, a comprehensive evaluation and comparison of the performance of these methods has not been available. This paper presents the preliminary results of the ISPRS benchmark on indoor modelling, an initiative of Working Group IV/5 to benchmark the performance of indoor modelling methods using a public dataset and a comprehensive evaluation framework. The performances of the different methods are compared through geometric quality evaluation of the reconstructed models in terms of completeness, correctness, and accuracy of wall elements. The results show that the reconstruction methods generally achieve high completeness but lower correctness for the reconstructed models while accuracies range from 0.5 cm to 6.7 cm.spa
dc.language.isoenge
dc.publisherThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciencesspa
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleThe ISPRS benchmark on indoor modelling: preliminary resultsspa
dc.typearticlespa
dc.rights.accessRightsopenAccessspa
dc.identifier.doi10.5194/isprs-archives-XLIII-B5-2020-207-2020
dc.identifier.editorhttps://doi.org/10.5194/isprs-archives-XLIII-B5-2020-207-2020spa
dc.publisher.departamentoDeseño na enxeñaríaspa
dc.publisher.grupoinvestigacionXeotecnoloxías Aplicadasspa
dc.subject.unesco3311.02 Ingeniería de Controlspa
dc.date.updated2021-07-20T08:06:10Z
dc.computerCitationpub_title=ISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences|volume=XLIII-B5-2020|journal_number=|start_pag=207|end_pag=211spa
dc.referencesThis work was supported by the ISPRS Scientific Initiatives 2019. The authors acknowledge the financial support from the University of Melbourne through Melbourne International Fee Remission and Melbourne International Research Scholarship.


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