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dc.contributor.authorBelton, David
dc.contributor.authorMooney, Brian
dc.contributor.authorSnow, Anthony
dc.contributor.authorBae, Kwang-Ho
dc.date.accessioned2017-01-30T11:58:47Z
dc.date.available2017-01-30T11:58:47Z
dc.date.created2011-12-15T20:01:15Z
dc.date.issued2011
dc.identifier.citationBelton, David and Mooney, Brian and Snow, Tony and Bae, Kwang-Ho. 2011. Automated Matching of Segmented Point Clouds to As-built Plans, in Proceedings of the Surveying and Spatial Sciences Conference 2011, Nov 21-25 2011. Wellington, NZ: New Zealand Institute of Surveyors and the Surveying and Spatial Sciences Institute.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/16948
dc.description.abstract

Terrestrial laser scanning (TLS) is seeing an increase use for surveying and engineering applications. As such, there is much on-going research into automating the process for segmentation and feature extraction. This paper presents a simple method for segmenting the interior of a building and comparing it to as-built plans. The method is based on analysing the local point attributes such as curvature, surface normal direction and underlying geometric structure. Random sampling consensus (RANSAC), region growing and voting techniques are applied to identify the predominant salient surface feature to extract wall and vertical segments. This information is used to generate a 2D plan of the interior space. A distance weighted method then automatically locates the corresponding vertices between the different datasets to transform them into a common coordinate system.A traditional survey was performed alongside the 3D point cloudcapture to compare and validate the generated 2D plans and the comparison to the existingdrawings. The accuracy of such generated plans from 3D point clouds will be explored.

dc.publisherNew Zealand Institute of Surveyors and the Surveying and Spatial Sciences Institute
dc.titleAutomated Matching of Segmented Point Clouds to As-built Plans
dc.typeConference Paper
dcterms.source.titleSurveying & Spatial Sciences Biennial Conference 2011
dcterms.source.conference-start-date21-25 November 2011
dcterms.source.placeWellington, New Zealand
curtin.departmentDepartment of Spatial Sciences
curtin.accessStatusOpen access


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