Accuracy evaluation of optical distortion calibration by digital image correlation

被引:29
作者
Gao, Zeren [1 ]
Zhang, Qingchuan [1 ]
Su, Yong [1 ]
Wu, Shangquan [1 ]
机构
[1] Univ Sci & Technol China, Chinese Acad Sci, Key Lab Mech Behav & Design Mat, Hefei 230027, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
Digital image correlation; Optical distortions; Calibration; Optical inspection; CAMERA CALIBRATION; INTERPOLATION BIAS; SYSTEMATIC-ERRORS; ENDOSCOPE IMAGES; LENS DISTORTION; DISPLACEMENT; NOISE;
D O I
10.1016/j.optlaseng.2017.06.008
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Due to its convenience of operation, the camera calibration algorithm, which is based on the plane template, is widely used in image measurement, computer vision and other fields. How to select a suitable distortion model is always a problem to be solved. Therefore, there is an urgent need for an experimental evaluation of the accuracy of camera distortion calibrations. This paper presents an experimental method for evaluating camera distortion calibration accuracy, which is easy to implement, has high precision, and is suitable for a variety of commonly used lens. First, we use the digital image correlation method to calculate the in-plane rigid body displacement field of an image displayed on a liquid crystal display before and after translation, as captured with a camera. Next, we use a calibration board to calibrate the camera to obtain calibration parameters which are used to correct calculation points of the image before and after deformation. The displacement field before and after correction is compared to analyze the distortion calibration results. Experiments were carried out to evaluate the performance of two commonly used industrial camera lenses for four commonly used distortion models. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:143 / 152
页数:10
相关论文
共 24 条
[1]  
[Anonymous], 2013, Learning OpenCV: Computer Vision in C++ with the OpenCVLibrary
[2]   Experimental Study on Three-Dimensional Deformation Field of Portevin-Le Chatelier Effect Using Digital Image Correlation [J].
Cai, Y. ;
Zhang, Q. ;
Yang, S. ;
Fu, S. ;
Wang, Y. .
EXPERIMENTAL MECHANICS, 2016, 56 (07) :1243-1255
[3]   Integrated Digital Image Correlation considering gray level and blur variations: Application to distortion measurements of IR camera [J].
Charbal, Ali ;
Dufour, John-Eric ;
Guery, Adrien ;
Hild, Francois ;
Roux, Stephane ;
Vincent, Ludovic ;
Poncelet, Martin .
OPTICS AND LASERS IN ENGINEERING, 2016, 78 :75-85
[4]  
Devernay F, 2001, MACH VISION APPL, V13, P14, DOI 10.1007/PL00013269
[5]   Integrated digital image correlation for the evaluation and correction of optical distortions [J].
Dufour, John-Eric ;
Hild, Francois ;
Roux, Stephane .
OPTICS AND LASERS IN ENGINEERING, 2014, 56 :121-133
[6]   Experimental analysis of image noise and interpolation bias in digital image correlation [J].
Gao, Zeren ;
Xu, Xiaohai ;
Su, Yong ;
Zhang, Qingchuan .
OPTICS AND LASERS IN ENGINEERING, 2016, 81 :46-53
[7]   Full-Field Deformation Measurement and Crack Mapping on Confined Masonry Walls Using Digital Image Correlation [J].
Ghorbani, R. ;
Matta, F. ;
Sutton, M. A. .
EXPERIMENTAL MECHANICS, 2015, 55 (01) :227-243
[8]   A NEW METHOD FOR DISTORTION CORRECTION OF ELECTRONIC ENDOSCOPE IMAGES [J].
HANEISHI, H ;
YAGIHASHI, Y ;
MIYAKE, Y .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 1995, 14 (03) :548-555
[9]   High-accuracy calibration of low-cost camera using image disturbance factor [J].
Liu, Zhen ;
Wu, Qun ;
Chen, Xu ;
Yin, Yang .
OPTICS EXPRESS, 2016, 24 (21) :24321-24336
[10]   Study on subset size selection in digital image correlation for speckle patterns [J].
Pan, Bing ;
Xie, Huimin ;
Wang, Zhaoyang ;
Qian, Kemao ;
Wang, Zhiyong .
OPTICS EXPRESS, 2008, 16 (10) :7037-7048