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Geometric calibration method based on Euler transformation for a large field of view polarimetric imager
Journal of Modern Optics ( IF 1.3 ) Pub Date : 2021-01-12
Chan Huang, Yuyang Chang, Lin Han, Su Wu, Shuang Li, Donggen Luo, Liang Sun, Jin Hong

ABSTRACT

A geometric calibration method based on a two-dimensional turntable and Euler transformation with simple operation, high precision and wide application is proposed in this paper. Instead of precisely adjusting the relative position of the sensor and the turntable, the method introduces rotation matrix and translation vector to effectively eliminate system error and alignment error. The geometric calibration verification experiments of the directional polarimetric camera were carried out in the laboratory with the original method without Euler transformation and the proposed method. The experimental results show the calibration residual of the proposed method is less than 0.2 pixel while the maximum residual of the original method reaches about 0.35 pixel, and the root mean squared error and mean reprojection error are also improved compared with the original method. These facts prove the availability and superiority of the proposed method.



中文翻译:

基于欧拉变​​换的大视场偏振成像仪几何校正方法

摘要

提出了一种基于二维转盘和欧拉变换的几何标定方法,该方法操作简单,精度高,应用广泛。该方法没有精确地调整传感器和转盘的相对位置,而是引入了旋转矩阵和平移矢量来有效消除系统误差和对准误差。定向偏振相机的几何定标验证实验是在实验室中进行的,采用的是原始方法,没有进行Euler变换,而是采用了原始方法。实验结果表明,该方法的校正残差小于0.2像素,而原始方法的最大残差约为0.35像素,与原始方法相比,均方根误差和平均投影误差也得到了改善。这些事实证明了所提出方法的可用性和优越性。

更新日期:2021-01-13
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