[1]郭陆峰,江开勇,吴明忠.一种新的非线性相机模型标定方法[J].华侨大学学报(自然科学版),2008,29(4):502-506.[doi:10.11830/ISSN.1000-5013.2008.04.0502]
　GUO Lu-feng,JIANG Kai-yong,WU Ming-zhong.A New Method of Calibration for Non-Linear Camera Model[J].Journal of Huaqiao University(Natural Science),2008,29(4):502-506.[doi:10.11830/ISSN.1000-5013.2008.04.0502]
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一种新的非线性相机模型标定方法()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第29卷
期数:
2008年第4期
页码:
502-506
栏目:
出版日期:
2008-10-20

文章信息/Info

Title:
A New Method of Calibration for Non-Linear Camera Model
文章编号:
1000-5013(2008)04-0502-05
作者:
郭陆峰; 江开勇; 吴明忠
华侨大学机电及自动化学院
Author(s):
GUO Lu-feng;  JIANG Kai-yong;  WU Ming-zhong
College of Mechanical Engineering and Automation, Huaqiao University, Quanzhou 362021, China
关键词:
双目视觉;  摄像机;  误差模型;  非线性畸变;  三维重建
Keywords:
binocular vision;  camera;  error model;  nonlinear distortion;  3-dimensional reconstruction
分类号:
TP391.41
DOI:
10.11830/ISSN.1000-5013.2008.04.0502
文献标志码:
A
摘要:
提出一种新的非线性相机模型标定方法.该方法考虑各种成像误差,用二元函数的多项式建立成像误差模型,用一个中间变量代替非线性畸变因素.在已知至少6个不共面点的空间坐标及对应的图像坐标,利用线性算法求解出非线性畸变模型的投影矩阵,用修正后的投影矩阵进行三维重建.实验结果表明,整个修正过程避免非线性方程的求解,10个修正参数由线性方程组一并解出,修正模型三维重建的精度整体得到提高.
Abstract:
A new method is proposed for the non-linear model camera calibration.In this method,all kinds of imaging errors are considered.The imaging error module is established in the form of a binary function polynomial,where nonlinear distortion is replaced by a variable parameter and projection matrix is answered with linear algorithms on the condition that at least six non-coplanar points′ world coordinates and the corresponding image coordinates are given.This calibrated projection matrix is utilized in 3-dimensional reconstruction.The experimental results show that the precision of the calibrated model can be improved greatly because ten calibrated parameters can be solved by a set of linear equations instead of solving nonlinear equations during the calibration process.

参考文献/References:

[1] LENZ R K, TSAI R Y. Techniques for calibration of the scale factor and image center for high accuracv 3-D ma- chine vision metrology [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1988(5):713-720.doi:10.1109/34.6781.
[2] FAUGERAS O D, TOSCANI G. The calibration problem for stereo vision [A]. Florida:IEEE, 1986.15-20.
[3] WANG L L, TASI W H. Camera calibration by vanishing lines for 3-D computer vision [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991(4):370-376.doi:10.1109/34.88572.
[4] TSAI R Y. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the- shelf TV cameras and lenses [J]. IEEE Journal of Robotics and Automation, 1987(4):323-344.
[5] KYRIAKOPOULOS K J, YIANNAKOS P, KALLIPOLITES V. A geometric calibration methodology for single-head cone-beam X-ray systems [J]. Journal of Intelligent and Robotic Systems, 1999(2):151-174.
[6] RIZO P, GRANGEAT P, GUILLEMAUD R. Geometric calibration method for multiple-head cone-beam SPECT system [J]. IEEE Transactions on Nuclear Science, 1994(6):2748-2757.doi:10.1109/23.340643.
[7] 蔡健荣, 赵杰文. 双目立体视觉系统摄像机标定 [J]. 江苏大学学报（自然科学版）, 2006(1):6-9.doi:10.3969/j.issn.1671-7775.2006.01.002.
[8] 霍龙, 刘伟军. 摄像机线性模型标定中一种投影矩阵的修正方法 [J]. 计算机工程与应用, 2005(6):75-77.doi:10.3321/j.issn:1002-8331.2005.06.023.
[9] 马颂德, 张正友. 计算机视觉--计算理论与算法基础 [M]. 北京:科学出版社, 1998.72-78.
[10] CHATTERJEE C, ROYCHOwDHURY V P. Algorithms for coplanar camera calibration [J]. Machine Vision and Applications, 2000(2):84-97.doi:10.1007/s001380050127.
[11] 霍龙, 刘伟军, 于光平. 考虑径向畸变的摄像机标定及在三维重建中的应用 [J]. 机械设计与制造, 2005(1):1-3.doi:10.3969/j.issn.1001-3997.2005.01.001.

备注/Memo

备注/Memo:
国家科技支撑计划项目(2006BAF01A23); 福建省自然科学基金资助项目(2007J0158)
更新日期/Last Update: 2014-03-23