Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Reconstruction of industrial piping installations from laser point clouds using profiling techniques
Includes abstract.
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Division of Geomatics
2015
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613715221708801 |
|---|---|
| access_status_str | Open Access |
| author | Mapurisa, Willard T |
| author2 | Sithole, George |
| author_browse | Mapurisa, Willard T Sithole, George |
| author_facet | Sithole, George Mapurisa, Willard T |
| author_sort | Mapurisa, Willard T |
| collection | Thesis |
| description | Includes abstract. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/12108 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:40:33.175Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Division of Geomatics |
| publisherStr | Division of Geomatics |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/12108 Reconstruction of industrial piping installations from laser point clouds using profiling techniques Mapurisa, Willard T Sithole, George Engineering Includes abstract. Includes bibliographical references (leaves 143-152). 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. 2015-01-13T03:47:52Z 2015-01-13T03:47:52Z 2009 Master Thesis Masters MSc http://hdl.handle.net/11427/12108 eng application/pdf Division of Geomatics Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Engineering Mapurisa, Willard T Reconstruction of industrial piping installations from laser point clouds using profiling techniques |
| thesis_degree_str | Master's |
| title | Reconstruction of industrial piping installations from laser point clouds using profiling techniques |
| title_full | Reconstruction of industrial piping installations from laser point clouds using profiling techniques |
| title_fullStr | Reconstruction of industrial piping installations from laser point clouds using profiling techniques |
| title_full_unstemmed | Reconstruction of industrial piping installations from laser point clouds using profiling techniques |
| title_short | Reconstruction of industrial piping installations from laser point clouds using profiling techniques |
| title_sort | reconstruction of industrial piping installations from laser point clouds using profiling techniques |
| topic | Engineering |
| url | http://hdl.handle.net/11427/12108 |
| work_keys_str_mv | AT mapurisawillardt reconstructionofindustrialpipinginstallationsfromlaserpointcloudsusingprofilingtechniques |