[1]姜大志,孙俊兰,郁倩,等.标准图形法求解相机镜头非线性畸变的研究[J].东南大学学报(自然科学版),2001,31(4):111-116.[doi:10.3969/j.issn.1001-0505.2001.04.026]
　Jiang Dazhi,Sun Junlan,Yu Qian,et al.Research on Solving Nonlinear Distortion of Camera Lens by Standard Graphic Method[J].Journal of Southeast University (Natural Science Edition),2001,31(4):111-116.[doi:10.3969/j.issn.1001-0505.2001.04.026]
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标准图形法求解相机镜头非线性畸变的研究()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
31
期数:
2001年第4期
页码:
111-116
栏目:
计算机科学与工程
出版日期:
2001-07-20

文章信息/Info

Title:
Research on Solving Nonlinear Distortion of Camera Lens by Standard Graphic Method
作者:
姜大志1; 2;  孙俊兰2;  郁倩1; 2;  丁秋林1
1 南京航空航天大学机电工程学院, 南京 210016; 2 盐城工学院机械工程系, 盐城 224003
Author(s):
Jiang Dazhi1; 2;  Sun Junlan2;  Yu Qian1; 2;  Ding Qiulin1
1 College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; 2 Department of Mechanical Engineering, Yancheng Institute of Industry and Technology, Yancheng 224003, Ch
关键词:
相机;  像素;  非线性;  图像;  畸变
Keywords:
camera;  pixel;  nonlinear;  image;  distortion
分类号:
TP391
DOI:
10.3969/j.issn.1001-0505.2001.04.026
摘要:
通过分析和实验,认为光学镜头产生非线性畸变的主要原因是透镜组合时的轴向间距误差.提出了把非线性畸变参数的求解独立于相机其他参数求解的方案,在机器视觉的研究和应用中,首先对图像进行校正,然后直接采用线性处理方法求解相机的内部参数和外部参数.为实现上述方案,研究了一种求解非线性畸变参数的方法——标准图形法,并详细介绍了这种方法的基本思想、具体内容和计算方法.实验证明,利用这种方法求解非线性畸变参数精度高且实用、可靠.
Abstract:
It is shown by analysis and experiments that nonlinear distortion of camera lens is mainly produced by the error of axial clearance in camera lens group. A technique, in which solving of nonlinear distortion parameters can be separated from solving of other parameters, is presented. In researching and applying of machine vision image with nonlinear distortion must be corrected first, and then other parameters of camera can be solved with linear method in later image processing. A method, standard graphic method, which is used to solve nonlinear distortion parameters is designed. The principle, content and program of this method are introduced in detail. Experiment result shows that the method is reliable, available and with high precision.

参考文献/References:

[1] Faig W.Calibration of close-range photogrammetric systems:mathematical formulation.Photogrammetic Eng Remote Sensing,1975,41:1479～1486
[2] Tsai R Y.A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses.IEEE J Robotics Automat,1987,RA-3(4):323～344
[3] Wang L L,Tsai W H.Camera calibration lines for 3D computer vision.Tran Patt Anal Machine Intell,1991,13(4):370～376
[4] Guiducci A.3D road reconstruction from a single view.Computer Vision and Image Understanding,1998,70(2):212～226
[5] Wei G Q,Ma S D.Implicit and explicit camera calibration:theory and experiments.IEEE Trans Patt Ana Machine Intell,1994,16(5):469～480
[6] 马颂德,张正友.计算机视觉——计算理论与算法基础.北京:科学出版社,1998.52～93
[7] 姜大志,孙闽.数码相机标方法的研究.南京航空航天大学学报,2001,33(1):55～59

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备注/Memo

备注/Memo:
作者简介:姜大志,男,1958年生,博士,副教授.
Tsai R Y. An efficient and accurate camera calibration technique for 3D machine vision. In:Proc of IEEE Conference of Computer Vision and Pattern Recognition,1986. 364～374.
更新日期/Last Update: 2001-07-20