Reconstruction of industrial piping installations from laser point clouds using profiling techniques

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dc.contributor.advisorSithole, Georgeen_ZA
dc.contributor.authorMapurisa, Willard Ten_ZA
dc.date.accessioned2015-01-13T03:47:52Z
dc.date.available2015-01-13T03:47:52Z
dc.date.issued2009en_ZA
dc.descriptionIncludes abstract.en_ZA
dc.descriptionIncludes bibliographical references (leaves 143-152).en_ZA
dc.description.abstractAs-built models of industrial piping installations are essential for planning applications in industry. Laser scanning has emerged as the preferred data acquisition method of as built information for creating these three dimensional (3D) models. The product of the scanning process is a cloud of points representing scanned surfaces. From this point cloud, 3D models of the surfaces are reconstructed. Most surfaces are of piping elements e.g. straight pipes, t-junctions, elbows, spheres. The automatic detection of these piping elements in point clouds has the greatest impact on the reconstructed model. Various algorithms have been proposed for detecting piping elements in point clouds. However, most algorithms detect cylinders (straight pipes) and planes which make up a small percentage of piping elements found in industrial installations. In addition, these algorithms do not allow for deformation detection in pipes. Therefore, the work in this research is aimed at the detection of piping elements (straight pipes, elbows, t-junctions and flange) in point clouds including deformation detection.en_ZA
dc.identifier.apacitationMapurisa, W. T. (2009). <i>Reconstruction of industrial piping installations from laser point clouds using profiling techniques</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Division of Geomatics. Retrieved from http://hdl.handle.net/11427/12108en_ZA
dc.identifier.chicagocitationMapurisa, Willard T. <i>"Reconstruction of industrial piping installations from laser point clouds using profiling techniques."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Division of Geomatics, 2009. http://hdl.handle.net/11427/12108en_ZA
dc.identifier.citationMapurisa, W. 2009. Reconstruction of industrial piping installations from laser point clouds using profiling techniques. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Mapurisa, Willard T AB - As-built models of industrial piping installations are essential for planning applications in industry. Laser scanning has emerged as the preferred data acquisition method of as built information for creating these three dimensional (3D) models. The product of the scanning process is a cloud of points representing scanned surfaces. From this point cloud, 3D models of the surfaces are reconstructed. Most surfaces are of piping elements e.g. straight pipes, t-junctions, elbows, spheres. The automatic detection of these piping elements in point clouds has the greatest impact on the reconstructed model. Various algorithms have been proposed for detecting piping elements in point clouds. However, most algorithms detect cylinders (straight pipes) and planes which make up a small percentage of piping elements found in industrial installations. In addition, these algorithms do not allow for deformation detection in pipes. Therefore, the work in this research is aimed at the detection of piping elements (straight pipes, elbows, t-junctions and flange) in point clouds including deformation detection. DA - 2009 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2009 T1 - Reconstruction of industrial piping installations from laser point clouds using profiling techniques TI - Reconstruction of industrial piping installations from laser point clouds using profiling techniques UR - http://hdl.handle.net/11427/12108 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/12108
dc.identifier.vancouvercitationMapurisa WT. Reconstruction of industrial piping installations from laser point clouds using profiling techniques. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Division of Geomatics, 2009 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/12108en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDivision of Geomaticsen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherEngineeringen_ZA
dc.titleReconstruction of industrial piping installations from laser point clouds using profiling techniquesen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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