Minimal Solutions for Panoramic Stitching with Radial Distortion

M Byrod, Matthew Brown, K Astrom

Research output: Contribution to conferencePaper

19 Citations (Scopus)

Abstract

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.
Original languageEnglish
Publication statusPublished - Sep 2009
EventBritish Machine Vision Conference 2009: BMVC09 - London
Duration: 7 Sep 200910 Sep 2009

Conference

ConferenceBritish Machine Vision Conference 2009: BMVC09
CityLondon
Period7/09/0910/09/09

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  • Cite this

    Byrod, M., Brown, M., & Astrom, K. (2009). Minimal Solutions for Panoramic Stitching with Radial Distortion. Paper presented at British Machine Vision Conference 2009: BMVC09, London, .