Paper
17 November 2008 Centi-pixel accurate real-time inverse distortion correction
Author Affiliations +
Proceedings Volume 7266, Optomechatronic Technologies 2008; 726611 (2008) https://doi.org/10.1117/12.804771
Event: International Symposium on Optomechatronic Technologies, 2008, San Diego, California, United States
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jason P. de Villiers, F. Wilhelm Leuschner, and Ronelle Geldenhuys "Centi-pixel accurate real-time inverse distortion correction", Proc. SPIE 7266, Optomechatronic Technologies 2008, 726611 (17 November 2008); https://doi.org/10.1117/12.804771
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CITATIONS
Cited by 50 scholarly publications and 2 patents.
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KEYWORDS
Distortion

Cameras

Data modeling

Optimization (mathematics)

Modeling

Image compression

3D metrology

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