摄像机的快速高精度标定一直是视觉测量中亟需解决的主要问题，目前针对不同的摄像机成像模型有多种标定方法。提出了一种基于圆形标记点以及极径、极角的棋盘格角点排序算法，实现了单目和多目摄像机的高精度全自动标定。通过实验验证了该算法对于不同位姿标定图像的有效性和稳健性，实验结果表明改进后的标定方法既保证了摄像机的标定精度，又提高了标定的自动化程度，可以广泛应用于机器视觉中的单目和双目摄像机的标定。

How to calibrate cameras rapidly and precisely is always a pressing problem in the visual measurement. Now there are many calibration mehods for different camer imaging models. A sorting algorithm for chess-board nodes based on the round marker, polar radius and polar angle is proposed, so that realize fully automatic calibration for single and binocular camera high-precision automatic calibration. Experiments vevify the effective and robust of the algorithm for different pose calibration images. Results show that the improved calibration ensures the calibration accuracy of the camera and improves the level of automation calibration, so it can be widely used in the calibration of single and binocular camera.