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Structure-from-motion for enclosed environments

dc.contributor.advisorHerbst, Ben
dc.contributor.advisorHunter, Karin
dc.contributor.authorHakl, Henrien_ZA
dc.contributor.otherUniversity of Stellenbosch. Faculty of Science. Dept. of Mathematical Sciences. Applied Mathematics.
dc.date.accessioned2008-03-27T10:05:13Zen_ZA
dc.date.accessioned2010-06-01T08:14:46Z
dc.date.available2008-03-27T10:05:13Zen_ZA
dc.date.available2010-06-01T08:14:46Z
dc.date.issued2007-12
dc.identifier.urihttp://hdl.handle.net/10019.1/1195
dc.descriptionThesis (PhD (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2007.
dc.description.abstractA structure-from-motion implementation for enclosed environments is presented. The various aspects covered include a discussion on optimised luminance computations—a technique to compute an optimally weighted luminance that maintains a greatest amount of data fidelity. Furthermore a visual engine is created that forms the basis of data input for reconstruction purposes; such an inexpensive solution is found to offer realistic environments along with precise control of scene and camera elements. A motion estimation system provides tracking information of scene elements and an unscented Kalman filter is used as depth estimator. The elements are combined into an accurate reconstructor for enclosed environments.en_ZA
dc.format.extent6434969 bytesen_ZA
dc.format.mimetypeapplication/pdfen_ZA
dc.language.isoenen_ZA
dc.publisherStellenbosch : University of Stellenbosch
dc.subjectVirtual reality
dc.subjectComputer simulation
dc.subjectData recovery (Computer science)
dc.subjectDissertations -- Applied mathematics
dc.subjectTheses -- Applied mathematics
dc.titleStructure-from-motion for enclosed environmentsen_ZA
dc.typeThesisen_ZA
dc.rights.holderUniversity of Stellenbosch


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