Structure-from-motion for enclosed environments
dc.contributor.advisor | Herbst, B. M. | en_ZA |
dc.contributor.advisor | Hunter, Karin | |
dc.contributor.author | Hakl, Henri | en_ZA |
dc.contributor.other | University of Stellenbosch. Faculty of Science. Dept. of Mathematical Sciences. Applied Mathematics. | |
dc.date.accessioned | 2008-03-27T10:05:13Z | en_ZA |
dc.date.accessioned | 2010-06-01T08:14:46Z | |
dc.date.available | 2008-03-27T10:05:13Z | en_ZA |
dc.date.available | 2010-06-01T08:14:46Z | |
dc.date.issued | 2007-12 | |
dc.description | Thesis (PhD (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2007. | |
dc.description.abstract | A 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.extent | 6434969 bytes | en_ZA |
dc.format.mimetype | application/pdf | en_ZA |
dc.identifier.uri | http://hdl.handle.net/10019.1/1195 | |
dc.language.iso | en | en_ZA |
dc.publisher | Stellenbosch : University of Stellenbosch | |
dc.rights.holder | University of Stellenbosch | |
dc.subject | Virtual reality | |
dc.subject | Computer simulation | |
dc.subject | Data recovery (Computer science) | |
dc.subject | Dissertations -- Applied mathematics | |
dc.subject | Theses -- Applied mathematics | |
dc.title | Structure-from-motion for enclosed environments | en_ZA |
dc.type | Thesis | en_ZA |