Optimization of projection matrix between cameras based on Levenberg-Marquardt algorithm

被引:0
|
作者
Zhang, Lei [1 ]
Zheng, Shubin [1 ]
Chai, Xiaodong [1 ]
Xu, Qingxia [1 ]
Zi, Anqi [1 ]
机构
[1] School of Urban Railway Transportation, Shanghai University of Engineering Science, Shanghai
来源
Journal of Information and Computational Science | 2015年 / 12卷 / 04期
关键词
Calibration; Levenberg-marquardt Algorithm; Parameter Optimization; The Least Squares; The Projection Matrix;
D O I
10.12733/jics20105445
中图分类号
学科分类号
摘要
The calibration of projection matrix between cameras and the optimization of the projection matrix based on Levenberg-Marquardt algorithm will be introduced in this article. The optimized parameters of projection matrix can be obtained by the least squares principle and the parameters are the iterative initial values of Levenberg-Marquardt (called L-M for short) to implement the second optimization of projection matrix parameters. This method will further improve the accuracy of measurement system. The results of simulation and experimentation demonstrate that measurement system based on the principle of least squares to obtain the initial optimization parameters and using the L-M algorithm to second times optimization has a higher precision, it is well suited for high accuracy measurement. ©, 2015, Binary Information Press
引用
收藏
页码:1607 / 1614
页数:7
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