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Proceedings Paper

Centi-pixel accurate real-time inverse distortion correction
Author(s): Jason P. de Villiers; F. Wilhelm Leuschner; Ronelle Geldenhuys
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Paper Abstract

Inverse distortion is used to create an undistorted image from a distorted image. For each pixel in the undistorted image it is required to determine which pixel in the distorted image should be used. However the process of characterizing a lens using a model such as that of Brown, yields a non-invertible mapping from the distorted domain to the undistorted domain. There are three current approaches to solving this: an approximation of the inverse distortion is derived from a low-order version of Brown's model; an initial guess for the distorted position is iteratively refined until it yields the desired undistorted pixel position; or a look-up table is generated to store the mapping. Each approach requires one to sacrifice either accuracy, memory usage or processing time. This paper shows that it is possible to have real-time, low memory, accurate inverse distortion correction. A novel method based on the re-use of left-over distortion characterization data is combined with modern numerical optimization techniques to fit a high-order version of Brown's model to characterize the inverse distortion. Experimental results show that, for thirty-two 5mm lenses exhibiting extreme barrel distortion, inverse distortion can be improved 25 fold to 0.013 pixels RMS over the image.

Paper Details

Date Published: 17 November 2008
PDF: 8 pages
Proc. SPIE 7266, Optomechatronic Technologies 2008, 726611 (17 November 2008); doi: 10.1117/12.804771
Show Author Affiliations
Jason P. de Villiers, Council for Scientific and Industrial Research (South Africa)
Univ. of Pretoria (South Africa)
F. Wilhelm Leuschner, Univ. of Pretoria (South Africa)
Ronelle Geldenhuys, Univ. of Pretoria (South Africa)

Published in SPIE Proceedings Vol. 7266:
Optomechatronic Technologies 2008

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