Cai Huajun, Song Yang, Shi Yuqing, Cao Zheng, Guo Zhenyan, Li Zhenhua, He Anzhi
Opt Express. 2020 Oct 12;28(21):31397-31413. doi: 10.1364/OE.402761.
Camera calibration is necessary for accurate image measurements, particularly in multicamera systems. The calibration process involves corresponding the coordinates of 3D calibration points with a 2D image and requires the establishment of a reliable 3D world coordinate system. This paper presents a convenient multicamera calibration method that uses a rotating calibration plate and multi-view stereo vision to calculate 3D points and their relationship with the image coordinates. Despite simple implementation, the rotation of the calibration plate presents numerous calibration points from various planes, increasing the stability of the solution and the noise reduction. The relocation accuracy and reprojection error are experimentally verified.
相机校准对于精确的图像测量是必要的，特别是在多相机系统中。校准过程涉及将3D校准点的坐标与2D图像进行对应，并且需要建立一个可靠的3D世界坐标系。本文提出了一种便捷的多相机校准方法，该方法使用旋转校准板和多视图立体视觉来计算3D点及其与图像坐标的关系。尽管实现简单，但校准板的旋转会从各个平面呈现大量校准点，提高了解决方案的稳定性并降低了噪声。通过实验验证了重定位精度和重投影误差。
