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

页码：1607 / 1614

页数：7

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