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Correction of radially asymmetric lens distortion with a closed form solution and inverse function

Dissertation (MEng)--University of Pretoria, 2009.

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Other Authors: Geldenhuys, R.
Format: Thesis
Published: University of Pretoria 2013
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access_status_str Open Access
author2 Geldenhuys, R.
author_browse Geldenhuys, R.
author_facet Geldenhuys, R.
collection Thesis
dc_rights_str_mv ©University of Pretoria 2007 E1197/
description Dissertation (MEng)--University of Pretoria, 2009.
format Thesis
id oai:repository.up.ac.za:2263/24623
institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:36:28.181Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
publishDateSort 2013
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/24623 Correction of radially asymmetric lens distortion with a closed form solution and inverse function Geldenhuys, R. jason.de.villiers@gmail.com De Villiers, Jason Peter Asymmetric radial distortion Radial distortion Numerical optimization Distortion correction Lens distortion Inverse distortion UCTD Dissertation (MEng)--University of Pretoria, 2009. The current paradigm in the lens distortion characterization industry is to use simple radial distortion models with only one or two radial terms. Tangential terms and the optimal distortion centre are also seldom determined. Inherent in the models currently used is the assumption that lens distortion is radially symmetrical. The reason for the use of these models is partly due to the perceived instability of more complex lens distortion models. This dissertation shows, in the first of its three hypotheses, that higher order models are indeed beneficial, when their parameters are determined using modern numerical optimization techniques. They are both stable and provide superior characterization. Although it is true that the first two radial terms dominate the distortion characterization, this work proves superior characterization is possible for those applications that may require it. The third hypothesis challenges the assumption of the radial symmetry of lens distortion. Building on the foundation provided by the first hypothesis, a sample of lens distortion models of similar and greater complexity to those found in literature are modified to have a radial gain, allowing the distortion corrections to vary both with polar angle and distance from the distortion centre. Four angular gains are evaluated, and two provide better characterization. The elliptical gain was the only method to both consistently improve the characterization and not ‘skew’ the corrected images. This gain was shown to improve characterization by as much as 50% for simple (single radial term) models and by 7% for even the most complex models. To create an undistorted image from a distorted image captured through a lens which has had its distortion characterized, one needs to find the corresponding distorted pixel for each undistorted pixel in the corrected image. This is either done iteratively or using a simplified model typically based on the Taylor expansion of a simple (one or two radial coefficients) distortion model. The first method is accurate yet slow and the second, the opposite. The second hypothesis of this research successfully combines the advantages of both methods without any of their disadvantages. It was shown that, using the superior characterization of high order radial models (when fitted with modern numerical optimization methods) together with the ‘side-effect’ undistorted image points created in the lens distortion characterization, it is possible to fit a ‘reverse’ model from the undistorted to distorted domains. This reverse characterization is of similar complexity to the simplified models yet provides characterization equivalent to the iterative techniques. Compared to using simplified models the reverse mapping yields an improvement of more than tenfold - from the many tenths of pixels to a few hundredths. Electrical, Electronic and Computer Engineering unrestricted 2013-09-06T18:05:32Z 2009-04-08 2013-09-06T18:05:32Z 2008-09-02 2009-04-08 2009-01-23 Dissertation 2007 E1197/gm http://hdl.handle.net/2263/24623 http://upetd.up.ac.za/thesis/available/etd-01232009-161525/ ©University of Pretoria 2007 E1197/ application/pdf University of Pretoria
spellingShingle Asymmetric radial distortion
Radial distortion
Numerical optimization
Distortion correction
Lens distortion
Inverse distortion
UCTD
Correction of radially asymmetric lens distortion with a closed form solution and inverse function
title Correction of radially asymmetric lens distortion with a closed form solution and inverse function
title_full Correction of radially asymmetric lens distortion with a closed form solution and inverse function
title_fullStr Correction of radially asymmetric lens distortion with a closed form solution and inverse function
title_full_unstemmed Correction of radially asymmetric lens distortion with a closed form solution and inverse function
title_short Correction of radially asymmetric lens distortion with a closed form solution and inverse function
title_sort correction of radially asymmetric lens distortion with a closed form solution and inverse function
topic Asymmetric radial distortion
Radial distortion
Numerical optimization
Distortion correction
Lens distortion
Inverse distortion
UCTD
url http://hdl.handle.net/2263/24623
http://upetd.up.ac.za/thesis/available/etd-01232009-161525/