A machine vision based non-contact measuring tool for mensuration in industry and manufacturing

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dc.contributor.advisorRüther, Heinzen_ZA
dc.contributor.authorMatthews, Mark Walteren_ZA
dc.date.accessioned2016-02-15T07:11:12Z
dc.date.available2016-02-15T07:11:12Z
dc.date.issued1994en_ZA
dc.descriptionBibliography: leaf 53.en_ZA
dc.description.abstractThis 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.en_ZA
dc.identifier.apacitationMatthews, M. W. (1994). <i>A machine vision based non-contact measuring tool for mensuration in industry and manufacturing</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,School of Architecture, Planning and Geomatics. Retrieved from http://hdl.handle.net/11427/17012en_ZA
dc.identifier.chicagocitationMatthews, Mark Walter. <i>"A machine vision based non-contact measuring tool for mensuration in industry and manufacturing."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,School of Architecture, Planning and Geomatics, 1994. http://hdl.handle.net/11427/17012en_ZA
dc.identifier.citationMatthews, M. 1994. A machine vision based non-contact measuring tool for mensuration in industry and manufacturing. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Matthews, Mark Walter AB - 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. DA - 1994 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1994 T1 - A machine vision based non-contact measuring tool for mensuration in industry and manufacturing TI - A machine vision based non-contact measuring tool for mensuration in industry and manufacturing UR - http://hdl.handle.net/11427/17012 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/17012
dc.identifier.vancouvercitationMatthews MW. A machine vision based non-contact measuring tool for mensuration in industry and manufacturing. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,School of Architecture, Planning and Geomatics, 1994 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/17012en_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.otherSurveying and Geodetic Engineeringen_ZA
dc.titleA machine vision based non-contact measuring tool for mensuration in industry and manufacturingen_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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