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Metric reconstruction of multiple rigid objects

Thesis (MScEng (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2009.

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Bibliographic Details
Main Author: De Vaal, Jan Hendrik
Other Authors: Herbst, B. M.
Format: Thesis
Language:English
Published: Stellenbosch : University of Stellenbosch 2009
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access_status_str Open Access
author De Vaal, Jan Hendrik
author2 Herbst, B. M.
author_browse De Vaal, Jan Hendrik
Herbst, B. M.
author_facet Herbst, B. M.
De Vaal, Jan Hendrik
author_sort De Vaal, Jan Hendrik
collection Thesis
dc_rights_str_mv University of Stellenbosch
description Thesis (MScEng (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2009.
format Thesis
id oai:scholar.sun.ac.za:10019.1/2892
institution Stellenbosch University (South Africa)
language English
last_indexed 2026-06-10T12:41:46.341Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2009
publishDateRange 2009
publishDateSort 2009
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:10019.1/2892 Metric reconstruction of multiple rigid objects De Vaal, Jan Hendrik Herbst, B. M. University of Stellenbosch. Faculty of Science. Dept. of Mathematical Sciences. Applied Mathematics. Metric reconstruction Motion segmentation Matrix factorization Auto-calibration Dissertations -- Applied mathematics Theses -- Applied mathematics Thesis (MScEng (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2009. Engineers struggle to replicate the capabilities of the sophisticated human visual system. This thesis sets out to recover motion and 3D structure of multiple rigid objects up to a similarity. The motion of these objects are either recorded in a single video sequence, or images of the objects are recorded on multiple, di erent cameras. We assume a perspective camera model with optional provision for calibration information. The Structure from Motion (SfM) problem is addressed from a matrix factorization point of view. This leads to a reconstruction correct up to a projectivity of little use in itself. Using techniques from camera autocalibration the projectivity is upgraded to a similarity. This reconstruction is also applied to multiple objects through motion segmentation. The SfM system developed in this thesis is a batch-processing algorithm, requiring few frames for a solution and readily accepts images from very di erent viewpoints. Since a solution can be obtained with just a few frames, it can be used to initialize sequential methods with slower convergence rates, such as the Kalman lter. The SfM system is critically evaluated against an extensive set of motion sequences. 2009-02-17T19:34:27Z 2010-06-01T09:00:59Z 2009-02-17T19:34:27Z 2010-06-01T09:00:59Z 2009-03 Thesis http://hdl.handle.net/10019.1/2892 en University of Stellenbosch application/pdf Stellenbosch : University of Stellenbosch
spellingShingle Metric reconstruction
Motion segmentation
Matrix factorization
Auto-calibration
Dissertations -- Applied mathematics
Theses -- Applied mathematics
De Vaal, Jan Hendrik
Metric reconstruction of multiple rigid objects
title Metric reconstruction of multiple rigid objects
title_full Metric reconstruction of multiple rigid objects
title_fullStr Metric reconstruction of multiple rigid objects
title_full_unstemmed Metric reconstruction of multiple rigid objects
title_short Metric reconstruction of multiple rigid objects
title_sort metric reconstruction of multiple rigid objects
topic Metric reconstruction
Motion segmentation
Matrix factorization
Auto-calibration
Dissertations -- Applied mathematics
Theses -- Applied mathematics
url http://hdl.handle.net/10019.1/2892
work_keys_str_mv AT devaaljanhendrik metricreconstructionofmultiplerigidobjects