Radial distortion correction from a single image of a planar calibration pattern using convex optimization

Author(s):  
Xianghua Ying ◽  
Xiang Mei ◽  
Sen Yang ◽  
Ganwen Wang ◽  
Hongbin Zha
2020 ◽  
Vol 57 (24) ◽  
pp. 241504
Author(s):  
陈文艺 Chen Wenyi ◽  
许洁 Xu Jie ◽  
杨辉 Yang Hui ◽  
杨小宝 Yang Xiaobao ◽  
惠小强 Xi Xiaoqiang

2004 ◽  
Vol 01 (02) ◽  
pp. 135-147 ◽  
Author(s):  
LILI MA ◽  
YANGQUAN CHEN ◽  
KEVIN L. MOORE

The common approach to radial distortion is by the means of polynomial approximation, which introduces distortion-specific parameters into the camera model and requires estimation of these distortion parameters. The task of estimating radial distortion is to find a radial distortion model that allows easy undistortion as well as satisfactory accuracy. This paper presents a new class of rational radial distortion models with easy analytical undistortion formulae. Experimental results are presented to show that with this class of rational radial distortion models, satisfactory and comparable accuracy can be achieved.


2011 ◽  
Vol 36 (24) ◽  
pp. 4734 ◽  
Author(s):  
Xin Du ◽  
Hongdong Li ◽  
Yunfang Zhu

Author(s):  
Manuel Lopez ◽  
Roger Mari ◽  
Pau Gargallo ◽  
Yubin Kuang ◽  
Javier Gonzalez-Jimenez ◽  
...  

2013 ◽  
Vol 432 ◽  
pp. 364-367
Author(s):  
Jong Eun Ha

Fish-eye lens is used in various applications because it can give wide field of view. But, it deviates from the conventional pin-hole camera assumption. It has large radial distortion compared to the conventional lens. In this paper, we present an algorithm for radial distortion correction of fish-eye lens using the property of straight line. First, we estimate the center of radial distortion using the algorithm of Hartely and Kang [4]. We adopt fish-eye lens model of Devernay and Faugeras [5] and estimate the parameter thorough searching. We use planar pattern with chessboard and generate undistorted points by given parameter value. We evaluate the correctness of the parameter by checking the distance of a point to the fitted line. In experiments, we compare proposed algorithm with Wang et al. [6]. Proposed algorithm gives more stable result with less distortion error.


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