Geometric Calibration Method Based On Euler Transformation For A Large Field Of View Polarimetric Imager

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.