基于对称性特征的棋盘方格角点自动检测算法

提出了一种针对棋盘方格角点的自动检测算法，用于摄像机标定过程中控制点的精确提取。该算法在分析现有算法的优缺点的基础上，结合棋盘标定物的几何特征，进行从粗到精的角点提取和坐标精确定位。首先粗略确定角点所在区域，然后在区域内应用对称性特征实现坐标的精确提取。实验表明，该算法能自动、有效地对控制点进行自动检测和精确提取。

Chessboard grid corners detection based on geometric symmetry

A new algorithm was proposed based on the geometric symmetry to detect grid corners. The method can be utilized in camera calibration where chessboard-like patterns were often used. Based on the observation of the geometric symmetry of such patterns, the new algorithm could be regarded as a coarse-to-fine process. Coarse detection defined the corner candidates and then precise extraction was used based on symmetry analysis. Experimental results show that the algorithm assures an efficient and accurate detection and the procedure can be carried out automatically.