Minimal Solutions for Panoramic Stitching with Radial Distortion
Byrod, M., Brown, M. and Astrom, K., 2009. Minimal Solutions for Panoramic Stitching with Radial Distortion. In: British Machine Vision Conference 2009: BMVC09, 2009-09-07 - 2009-09-10, London.
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This paper presents a solution to panoramic image stitching of two images with coinciding optical centers, but unknown focal length and radial distortion. The algorithm operates with a minimal set of corresponding points (three) which means that it is well suited for use in any RANSAC style algorithm for simultaneous estimation of geometry and outlier rejection. Compared to a previous method for this problem, we are able to guarantee that the right solution is found in all cases. The solution is obtained by solving a small system of polynomial equations. The proposed algorithm has been integrated in a complete multi image stitching system and we evaluate its performance on real images with lens distortion. We demonstrate both quantitative and qualitative improvements compared to state of the art methods.
|Item Type||Conference or Workshop Items (Paper)|
|Creators||Byrod, M., Brown, M. and Astrom, K.|
|Departments||Faculty of Science > Computer Science|
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