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

 

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dc.contributor.advisor Rüther, Heinz en_ZA
dc.contributor.author Matthews, Mark Walter en_ZA
dc.date.accessioned 2016-02-15T07:11:12Z
dc.date.available 2016-02-15T07:11:12Z
dc.date.issued 1994 en_ZA
dc.identifier.citation Matthews, M. 1994. A machine vision based non-contact measuring tool for mensuration in industry and manufacturing. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/17012
dc.description Bibliography: leaf 53. en_ZA
dc.description.abstract 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. en_ZA
dc.language.iso eng en_ZA
dc.subject.other Surveying and Geodetic Engineering en_ZA
dc.title A machine vision based non-contact measuring tool for mensuration in industry and manufacturing en_ZA
dc.type Thesis / Dissertation en_ZA
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Engineering & the Built Environment en_ZA
dc.publisher.department School of Architecture, Planning and Geomatics en_ZA
dc.type.qualificationlevel Masters en_ZA
dc.type.qualificationname MSc en_ZA
uct.type.filetype Text
uct.type.filetype Image


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