A single-image linear calibration method for camera

被引：30
|
作者：
Zhang, Zhuang [1 ,2 ]
Zhao, Rujin [1 ]
Liu, Enhai [1 ]
Yan, Kun [1 ,2 ]
Ma, Yuebo [1 ,2 ]
机构：
[1] Chinese Acad Sci, Inst Opt & Elect, Chengdu 610209, Sichuan, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100149, Peoples R China
来源：
MEASUREMENT | 2018年 / 130卷
基金：
中国国家自然科学基金;
关键词：
Camera calibration; Lens distortion correction; Division model; Non-iterative;
D O I：
10.1016/j.measurement.2018.07.085
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper proposes a linear method for simultaneously calibrating the distortion coefficients and intrinsic parameters of a camera by using a single image, based on the division model of distortion. First, we accurately estimate the distortion center from correspondences between points on the target and its image. Then we decouple the distortion coefficient and intrinsic parameters and solve all the parameters independently through a linear method. We show through both simulation and real experiments that the proposed approach is effective and reliable. Compared with iterative methods, it can improve computational efficiency by more than 20 times while preserving calibration accuracy. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码：298 / 305
页数：8
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