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Automatic Analysis of Lens Distortions in Image Registration

By Birgit Möller and Stefan Posch

Abstract

Geometric image registration by estimating homographies is an important processing step in a wide variety of computer vision applications. The 2D registration of two images does not require an explicit reconstruction of intrinsic or extrinsic camera parameters. However, correcting images for non-linear lens distortions is highly recommended. Unfortunately, standard calibration techniques are sometimes difficult to apply and reliable estimations of lens distortions can only rarely be obtained. In this paper we present a new technique for automatically detecting and categorising lens distortions in pairs of images by analysing registration results. The approach is based on a new metric for registration quality assessment and facilitates a PCA-based statistical model for classifying distortion effects. In doing so the overall importance for lens calibration and image corrections can be checked, and a measure for the efficiency of accordant correction steps is given

Topics: Camera Calibration, Lens Distortions, Image Registration, Automatic Assessment, Statistical Classification, Data processing, computer science, computer systems
Publisher: Faculties. Faculty of Technology, Research Groups in Informatics
Year: 2007
OAI identifier: oai:biecoll.ub.uni-bielefeld.de:98

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