为了提高相机标定自动化水平，针对各种样式靶标，提出了一种角点匹配世界坐标的通用算法。分析了影响角点匹配世界坐标的主要因素：镜头畸变和投影变换导致的几何形变。算法利用“区间方差和”搜索极坐标系下最佳投影角，自动选择区间划分方式进行“二次分类”。仿真分析并验证了该算法有效抵抗几何形变和镜头畸变的能力。通过实验验证算法可稳定准确地实现靶标角点匹配世界坐标。在项目解决方案中作为独立算法模块，有效提高标定自动化水平。

In order to improve the level of camera automatic calibration, a general algorithm for matching corners and their world coordinate is proposed on account of kinds of board. Major factors of influence on corners’ match are analyzed, lens distortion and geometric deformable caused by projection transformation. The algorithm searches the best projected angle with the “sum of Interval variance”. The algorithm chooses the style of interval partition automatically and corners are classified twice. The capability for resisting geometric deformable and projection transformation is testified through simulation. That the algorithm can match corners accurately and steadily, which is proved in real experiment. The algorithm as an independent module has been used in solution and improves the automatic level of calibration obviously.