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Sub-Regional Camera Calibration Based on Moving Light Target with Coordinate Measuring Machine

机译：基于坐标测量机的移动光目标的次区域相机标定

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To achieve high-accuracy camera parameters,calibration template with strict precision and high production costs is always indispensable in classical camera calibration method.In this paper,we suggest a simple and practical approach to camera calibration combined a novel idea called sub-regional theory in order to higher the accuracy.A round light target moves with the Coordinate Measuring Machine (CMM) to form a set of accurate spacial points.Meanwhile,camera captures images of the target which are transferred to computer and being processed to obtain the center position of target in the image plane.The image plane is divided into several regions and improved Tsai's method based on Radial Accordance Constraint (RAC) is applied to calculate the camera parameters of every region.Then we analyzed the form error and measured the real distance of two points which are reflected into the camera coordinate system.The experimental results show significant improvements over oneregion camera calibration.
机译：为了获得高精度的相机参数，在传统的相机校准方法中，始终必须有严格的精度和较高的生产成本的校准模板。本文提出了一种简单实用的相机校准方法，该方法结合了一种称为分区域理论的新颖思想。圆形光目标随坐标测量机（CMM）移动以形成一组准确的空间点。同时，照相机捕获目标的图像，这些图像被传输到计算机并经过处理以获得中心位置。将图像平面划分为多个区域，并应用基于径向一致约束（RAC）的改进Tsai方法计算每个区域的相机参数，然后分析形状误差并测量两个区域的真实距离点反映到相机坐标系中。实验结果表明，与单区域相机校准相比，有了显着改进通气。

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