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Verifying stereo vision using structure from motion
Thesis (MScEng (Mathematical Sciences. Applied Mathematics))--Stellenbosch University, 2008.
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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Stellenbosch : Stellenbosch University
2008
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| _version_ | 1867614120415592448 |
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| access_status_str | Open Access |
| author | Van Wyk, Barry-Michael Morne |
| author2 | Hunter, K. M. |
| author_browse | Hunter, K. M. Van Wyk, Barry-Michael Morne |
| author_facet | Hunter, K. M. Van Wyk, Barry-Michael Morne |
| author_sort | Van Wyk, Barry-Michael Morne |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (MScEng (Mathematical Sciences. Applied Mathematics))--Stellenbosch University, 2008. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/3017 |
| institution | Stellenbosch University (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:46:59.291Z |
| 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 : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/3017 Verifying stereo vision using structure from motion Van Wyk, Barry-Michael Morne Hunter, K. M. Muller, N. L. Stellenbosch University. Faculty of Science. Dept. of Mathematical Sciences. Applied Mathematics. Dissertations -- Applied mathematics Theses -- Applied mathematics Patients -- Positioning -- Technique Kalman filtering Photogrammetry in medicine Radiology, Medical -- Technique Structure from motion Thesis (MScEng (Mathematical Sciences. Applied Mathematics))--Stellenbosch University, 2008. The medical radiation treatment facility at iThemba Labs requires a precise and robust patient positioning system. The current system makes use of an accurately calibrated multi-camera stereophotogrammetry (SPG) setup that is vulnerable to physical disruptions that invalidate system calibration. The task in this thesis is to design a vision system that can be used to verify the correct operation of the SPG system. We propose an unscented Kalman filter (UKF) based structure from motion (SFM) system for this purpose. Our SFM system does not rely on calibration information used by the SPG system and provides accurate reconstruction for verification purposes. The system is critically evaluated against a set of synthetic and real motion sequences. 2008-06-24T09:48:05Z 2010-06-01T09:04:02Z 2008-06-24T09:48:05Z 2010-06-01T09:04:02Z 2008-03 Thesis http://hdl.handle.net/10019.1/3017 en Stellenbosch University application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Dissertations -- Applied mathematics Theses -- Applied mathematics Patients -- Positioning -- Technique Kalman filtering Photogrammetry in medicine Radiology, Medical -- Technique Structure from motion Van Wyk, Barry-Michael Morne Verifying stereo vision using structure from motion |
| title | Verifying stereo vision using structure from motion |
| title_full | Verifying stereo vision using structure from motion |
| title_fullStr | Verifying stereo vision using structure from motion |
| title_full_unstemmed | Verifying stereo vision using structure from motion |
| title_short | Verifying stereo vision using structure from motion |
| title_sort | verifying stereo vision using structure from motion |
| topic | Dissertations -- Applied mathematics Theses -- Applied mathematics Patients -- Positioning -- Technique Kalman filtering Photogrammetry in medicine Radiology, Medical -- Technique Structure from motion |
| url | http://hdl.handle.net/10019.1/3017 |
| work_keys_str_mv | AT vanwykbarrymichaelmorne verifyingstereovisionusingstructurefrommotion |