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A machine vision based non-contact measuring tool for mensuration in industry and manufacturing
Bibliography: leaf 53.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
School of Architecture, Planning and Geomatics
2016
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| _version_ | 1867613315301113856 |
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| access_status_str | Open Access |
| author | Matthews, Mark Walter |
| author2 | Rüther, Heinz |
| author_browse | Matthews, Mark Walter Rüther, Heinz |
| author_facet | Rüther, Heinz Matthews, Mark Walter |
| author_sort | Matthews, Mark Walter |
| collection | Thesis |
| description | Bibliography: leaf 53. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/17012 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:34:10.861Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | School of Architecture, Planning and Geomatics |
| publisherStr | School of Architecture, Planning and Geomatics |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/17012 A machine vision based non-contact measuring tool for mensuration in industry and manufacturing Matthews, Mark Walter Rüther, Heinz Surveying and Geodetic Engineering Bibliography: leaf 53. This thesis report discusses the design, implementation and testing of a non-contact measuring tool based on the principle of stereo photogrammetry. The system uses a pair of CCD video cameras and a frame-grabber in a PC to capture the pair of images this requires. The software on the PC then measures the image co-ordinates of points selected by the user and transforms them into space co-ordinates for the points. The transformation requires knowledge of the relative positions and orientations of the cameras. This is found in a calibration stage from images of a calibration frame. The cameras are mounted on a bar, which guarantees that the relative positions and orientations of the cameras remain invariant within certain limits. This makes the system portable. 2016-02-15T07:11:12Z 2016-02-15T07:11:12Z 1994 Master Thesis Masters MSc http://hdl.handle.net/11427/17012 eng application/pdf School of Architecture, Planning and Geomatics Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Surveying and Geodetic Engineering Matthews, Mark Walter A machine vision based non-contact measuring tool for mensuration in industry and manufacturing |
| thesis_degree_str | Master's |
| title | A machine vision based non-contact measuring tool for mensuration in industry and manufacturing |
| title_full | A machine vision based non-contact measuring tool for mensuration in industry and manufacturing |
| title_fullStr | A machine vision based non-contact measuring tool for mensuration in industry and manufacturing |
| title_full_unstemmed | A machine vision based non-contact measuring tool for mensuration in industry and manufacturing |
| title_short | A machine vision based non-contact measuring tool for mensuration in industry and manufacturing |
| title_sort | machine vision based non contact measuring tool for mensuration in industry and manufacturing |
| topic | Surveying and Geodetic Engineering |
| url | http://hdl.handle.net/11427/17012 |
| work_keys_str_mv | AT matthewsmarkwalter amachinevisionbasednoncontactmeasuringtoolformensurationinindustryandmanufacturing AT matthewsmarkwalter machinevisionbasednoncontactmeasuringtoolformensurationinindustryandmanufacturing |