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Structure-from-motion for enclosed environments

Thesis (PhD (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2007.

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Bibliographic Details
Main Author: Hakl, Henri
Other Authors: Herbst, B. M.
Format: Thesis
Language:English
Published: Stellenbosch : University of Stellenbosch 2008
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access_status_str Open Access
author Hakl, Henri
author2 Herbst, B. M.
author_browse Hakl, Henri
Herbst, B. M.
author_facet Herbst, B. M.
Hakl, Henri
author_sort Hakl, Henri
collection Thesis
dc_rights_str_mv University of Stellenbosch
description Thesis (PhD (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2007.
format Thesis
id oai:scholar.sun.ac.za:10019.1/1195
institution Stellenbosch University (South Africa)
language English
last_indexed 2026-06-10T12:41:25.747Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2008
publishDateRange 2008
publishDateSort 2008
publisher Stellenbosch : University of Stellenbosch
publisherStr Stellenbosch : University of Stellenbosch
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/1195 Structure-from-motion for enclosed environments Hakl, Henri Herbst, B. M. Hunter, Karin University of Stellenbosch. Faculty of Science. Dept. of Mathematical Sciences. Applied Mathematics. Virtual reality Computer simulation Data recovery (Computer science) Dissertations -- Applied mathematics Theses -- Applied mathematics Thesis (PhD (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2007. 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. Doctoral 2008-03-27T10:05:13Z 2010-06-01T08:14:46Z 2008-03-27T10:05:13Z 2010-06-01T08:14:46Z 2007-12 Thesis http://hdl.handle.net/10019.1/1195 en University of Stellenbosch 6434969 bytes application/pdf application/pdf Stellenbosch : University of Stellenbosch
spellingShingle Virtual reality
Computer simulation
Data recovery (Computer science)
Dissertations -- Applied mathematics
Theses -- Applied mathematics
Hakl, Henri
Structure-from-motion for enclosed environments
title Structure-from-motion for enclosed environments
title_full Structure-from-motion for enclosed environments
title_fullStr Structure-from-motion for enclosed environments
title_full_unstemmed Structure-from-motion for enclosed environments
title_short Structure-from-motion for enclosed environments
title_sort structure from motion for enclosed environments
topic Virtual reality
Computer simulation
Data recovery (Computer science)
Dissertations -- Applied mathematics
Theses -- Applied mathematics
url http://hdl.handle.net/10019.1/1195
work_keys_str_mv AT haklhenri structurefrommotionforenclosedenvironments