Title Minimal Solutions for Panoramic Stitching with Radial Distortion
Authors Martin Byröd, Matthew Brown, Karl Åström
Full-text Available as PDF
Alternative Location http://www.bmva.org/bmvc/20...
Publication British Machine Vision Conference
Year 2009
Pages 11
Document type Conference paper
Conference name The 20th British Machine Vision Conference
Conference Date 2009-09-07--2009-09-10
Conference Location London, UK
Status Published
Quality controlled Yes
Language eng
Publisher British Machine Vision Association (BMVA)
Abstract English This paper presents a solution to panoramic image stitching of two images with co-<br> inciding optical centers, but unknown focal length and radial distortion. The algorithm<br> operates with a minimal set of corresponding points (three) which means that it is well<br> suited for use in any RANSAC style algorithm for simultaneous estimation of geometry<br> and outlier rejection. Compared to a previous method for this problem, we are able to<br> guarantee that the right solution is found in all cases. The solution is obtained by solving<br> a small system of polynomial equations. The proposed algorithm has been integrated in<br> a complete multi image stitching system and we evaluate its performance on real images<br> with lens distortion. We demonstrate both quantitative and qualitative improvements<br> compared to state of the art methods.
Keywords minimal problems, pose, Computer vision, geometry, radial distortion ,

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