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Assessing target centring algorithms for use in near-real-time-photogrammetry
Bibliography: leaves 140-146.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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School of Architecture, Planning and Geomatics
2014
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| _version_ | 1867613237842804736 |
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| access_status_str | Open Access |
| author | Rubinstein, Michael |
| author2 | Rüther, Heinz |
| author_browse | Rubinstein, Michael Rüther, Heinz |
| author_facet | Rüther, Heinz Rubinstein, Michael |
| author_sort | Rubinstein, Michael |
| collection | Thesis |
| description | Bibliography: leaves 140-146. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/9661 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:57.328Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| 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:11427/9661 Assessing target centring algorithms for use in near-real-time-photogrammetry Rubinstein, Michael Rüther, Heinz Surveying Bibliography: leaves 140-146. Target Centring Algorithms were investigated for use in the Near-Real-Time-Photogrammetry NRTP system: PHOENICS. PHOENICS, a Photogrammetric Engineering and Industrial digital Camera System, has been developed over the past three years in the Surveying Department of UCT to provide a semi-automatic system to determine three dimensional co-ordinates of surfaces and objects using a photogrammetric method. Targets are attached to an object in order to facilitate measurement of the shape, size and orientation of the object. The centre of the target uniquely defines the target co-ordinate. Target centres (from images of the same object) are used in photogrammetric models to locate the three dimensional (3-D) coordinates of the target. The accuracy of the target 3-D location is dependent on the accuracy of the target centring algorithm. A series of sub-algorithms were employed to arrive at a single target centring algorithm. Various combinations of these sub- algorithms were compared in order to obtain the optimal target centring algorithm. Three images were used to test various aspects of the target centring algorithms: their potential accuracy was tested on an image having symmetric synthetic targets their robustness was tested on an image having targets with artificial blemishes their performance in a real (noisy) environment was tested on an image with real targets on a control frame, captured by PHOENICS. When the target centring algorithms were run on the three images, target location with an accuracy of from 1/10 of a pixel for real images, to 1/1000 of a pixel for ideal synthetic targets was obtained. 2014-11-15T19:41:55Z 2014-11-15T19:41:55Z 1990 Master Thesis Masters MSc http://hdl.handle.net/11427/9661 eng application/pdf School of Architecture, Planning and Geomatics Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Surveying Rubinstein, Michael Assessing target centring algorithms for use in near-real-time-photogrammetry |
| thesis_degree_str | Master's |
| title | Assessing target centring algorithms for use in near-real-time-photogrammetry |
| title_full | Assessing target centring algorithms for use in near-real-time-photogrammetry |
| title_fullStr | Assessing target centring algorithms for use in near-real-time-photogrammetry |
| title_full_unstemmed | Assessing target centring algorithms for use in near-real-time-photogrammetry |
| title_short | Assessing target centring algorithms for use in near-real-time-photogrammetry |
| title_sort | assessing target centring algorithms for use in near real time photogrammetry |
| topic | Surveying |
| url | http://hdl.handle.net/11427/9661 |
| work_keys_str_mv | AT rubinsteinmichael assessingtargetcentringalgorithmsforuseinnearrealtimephotogrammetry |