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Proceedings Paper

Blind radial distortion compensation from video using fast Hough transform
Author(s): I. A. Kunina; A. P. Terekhin; S. A. Gladilin; D. P. Nikolaev
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Paper Abstract

This paper presents a method of radial distortion automatic compensation on video from an unknown camera. The proposed algorithm estimates the distortion parameters by analyzing a sequence of video frames. It does not require any calibration objects, but is based on the assumption that the original scene contained straight lines. The method tries to perform such radial distortion correction that makes lines look generally straighter. To estimate the overall curvature of the lines we propose to use the fast Hough transform; without actually detecting them in the image. The proposed algorithm has been tested on real data.

Paper Details

Date Published: 8 February 2017
PDF: 7 pages
Proc. SPIE 10253, 2016 International Conference on Robotics and Machine Vision, 1025308 (8 February 2017); doi: 10.1117/12.2254867
Show Author Affiliations
I. A. Kunina, Institute for Information Transmission Problems (Russian Federation)
A. P. Terekhin, Institute for Information Transmission Problems (Russian Federation)
S. A. Gladilin, Institute for Information Transmission Problems (Russian Federation)
D. P. Nikolaev, Institute for Information Transmission Problems (Russian Federation)


Published in SPIE Proceedings Vol. 10253:
2016 International Conference on Robotics and Machine Vision
Alexander V. Bernstein; Adrian Olaru; Jianhong Zhou, Editor(s)

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