Assessing target centring algorithms for use in near-real-time-photogrammetry

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dc.contributor.advisorRüther, Heinzen_ZA
dc.contributor.authorRubinstein, Michaelen_ZA
dc.date.accessioned2014-11-15T19:41:55Z
dc.date.available2014-11-15T19:41:55Z
dc.date.issued1990en_ZA
dc.descriptionBibliography: leaves 140-146.en_ZA
dc.description.abstractTarget 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.en_ZA
dc.identifier.apacitationRubinstein, M. (1990). <i>Assessing target centring algorithms for use in near-real-time-photogrammetry</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,School of Architecture, Planning and Geomatics. Retrieved from http://hdl.handle.net/11427/9661en_ZA
dc.identifier.chicagocitationRubinstein, Michael. <i>"Assessing target centring algorithms for use in near-real-time-photogrammetry."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,School of Architecture, Planning and Geomatics, 1990. http://hdl.handle.net/11427/9661en_ZA
dc.identifier.citationRubinstein, M. 1990. Assessing target centring algorithms for use in near-real-time-photogrammetry. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Rubinstein, Michael AB - 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. DA - 1990 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1990 T1 - Assessing target centring algorithms for use in near-real-time-photogrammetry TI - Assessing target centring algorithms for use in near-real-time-photogrammetry UR - http://hdl.handle.net/11427/9661 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/9661
dc.identifier.vancouvercitationRubinstein M. Assessing target centring algorithms for use in near-real-time-photogrammetry. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,School of Architecture, Planning and Geomatics, 1990 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/9661en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentSchool of Architecture, Planning and Geomaticsen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherSurveyingen_ZA
dc.titleAssessing target centring algorithms for use in near-real-time-photogrammetryen_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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