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Masonry segmentation plugin for CloudCompare

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dc.contributor HISTORIC ENVIRONMENT SCOTLAND
dc.contributor Valero, Enrique
dc.creator Valero, Enrique
dc.creator Bosché, Frédéric
dc.date 2020-07-31T13:54:12Z
dc.date 2020-07-31T13:54:12Z
dc.date.accessioned 2023-02-17T20:52:56Z
dc.date.available 2023-02-17T20:52:56Z
dc.identifier Valero, Enrique; Bosché, Frédéric. (2020). Masonry segmentation plugin for CloudCompare, [software]. Cyberbuild Lab. The University of Edinburgh. https://doi.org/10.7488/ds/2892.
dc.identifier https://hdl.handle.net/10283/3717
dc.identifier https://doi.org/10.7488/ds/2892
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/244063
dc.description The current version of the plugin focuses on point clouds of rubble masonry (and this also leads to the segmentation of mortar regions) for "straight" walls (i.e. without significant curvature). A future version shall also enable the segmentation of ashlar masonry and of walls with designed curvature (e.g. cyclindrical towers). The plugin contains two tools: one is for the automated segmentation of the point cloud into the wall's constitutive stones. The other one is to conduct this process manually either from scratch or (most commonly) to correct the errors of the automated tool. Source code can be found at our Github repository.
dc.format application/pdf
dc.format application/zip
dc.format application/zip
dc.language eng
dc.publisher Cyberbuild Lab. The University of Edinburgh
dc.relation https://github.com/CyberbuildLab/masonry-cc
dc.relation https://www.research.ed.ac.uk/portal/en/publications/development-of-a-novel-open-tool-for-the-segmentation-of-3d-point-clouds-of-masonry-walls(138d79ec-9f1f-40c9-9537-7ae9df7f8315).html
dc.rights Creative Commons Attribution 4.0 International Public License
dc.subject software
dc.subject CloudCompare
dc.subject masonry
dc.subject stone
dc.subject mortar
dc.subject Engineering::Computer-Aided Engineering
dc.title Masonry segmentation plugin for CloudCompare
dc.type software


Files in this item

Files Size Format View
CC_plugins_v1.3.zip 39.27Mb application/zip View/Open
datasets.zip 12.40Mb application/zip View/Open
USER GUIDE_1.3.pdf 2.036Mb application/pdf View/Open

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