Straight lines have to be straight |
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Authors: | Frédéric Devernay Olivier Faugeras |
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Affiliation: | (1) INRIA, BP93, 06902 Sophia Antipolis Cedex, France; e-mail: {devernay,faugeras}@sophia.inria.fr , FR |
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Abstract: | Most algorithms in 3D computer vision rely on the pinhole camera model because of its simplicity, whereas video optics, especially
low-cost wide-angle or fish-eye lenses, generate a lot of non-linear distortion which can be critical. To find the distortion
parameters of a camera, we use the following fundamental property: a camera follows the pinhole model if and only if the projection
of every line in space onto the camera is a line. Consequently, if we find the transformation on the video image so that every
line in space is viewed in the transformed image as a line, then we know how to remove the distortion from the image. The
algorithm consists of first doing edge extraction on a possibly distorted video sequence, then doing polygonal approximation
with a large tolerance on these edges to extract possible lines from the sequence, and then finding the parameters of our
distortion model that best transform these edges to segments. Results are presented on real video images, compared with distortion
calibration obtained by a full camera calibration method which uses a calibration grid.
Received: 27 December 1999 / Accepted: 8 November 2000 |
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Keywords: | : Camera calibration – Nonlinear distortion – Self-calibration – Camera models |
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