Paper
8 February 2017 Blind radial distortion compensation from video using fast Hough transform
Author Affiliations +
Proceedings Volume 10253, 2016 International Conference on Robotics and Machine Vision; 1025308 (2017) https://doi.org/10.1117/12.2254867
Event: 2016 International Conference on Robotics and Machine Vision, 2016, Moscow, Russia
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
I. A. Kunina, A. P. Terekhin, S. A. Gladilin, and D. P. Nikolaev "Blind radial distortion compensation from video using fast Hough transform", Proc. SPIE 10253, 2016 International Conference on Robotics and Machine Vision, 1025308 (8 February 2017); https://doi.org/10.1117/12.2254867
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Cited by 3 scholarly publications.
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KEYWORDS
Distortion

Video

Reconstruction algorithms

Hough transforms

Image quality

Calibration

Cameras

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