Automatic Curve Selection for Lens Distortion Correction Using Hough Transform Energy
Abstract
It is advantageous but difficult to automatically and accurately estimate parameters of lens models from single images, particularly in internet image processing and thermal image processing. As not all objects have straight edges, it is natural that some edges should be straight and some should be curved in undistorted images. Therefore, the key problem is how to find curved lines in original images that should be straight in undistorted images. In this paper, a novel algorithm is proposed to solve this key problem by automatically selecting reliable line segments using high-order Hough transform energies. Experimental results show that the proposed algorithm is able to detect reliable lines and produce quality results for both indoor and outdoor images taken by different cameras using wide-angle and fisheye lenses as well as zoom lenses.
Cite
Text
Cai and Miklavcic. "Automatic Curve Selection for Lens Distortion Correction Using Hough Transform Energy." IEEE/CVF Winter Conference on Applications of Computer Vision, 2013. doi:10.1109/WACV.2013.6475054Markdown
[Cai and Miklavcic. "Automatic Curve Selection for Lens Distortion Correction Using Hough Transform Energy." IEEE/CVF Winter Conference on Applications of Computer Vision, 2013.](https://mlanthology.org/wacv/2013/cai2013wacv-automatic/) doi:10.1109/WACV.2013.6475054BibTeX
@inproceedings{cai2013wacv-automatic,
title = {{Automatic Curve Selection for Lens Distortion Correction Using Hough Transform Energy}},
author = {Cai, Jinhai and Miklavcic, Stan},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
year = {2013},
pages = {455-460},
doi = {10.1109/WACV.2013.6475054},
url = {https://mlanthology.org/wacv/2013/cai2013wacv-automatic/}
}