The extraction of the internal corners of a planar checkerboard pattern image is a key stage in camera calibration. 基于棋盘格模板图像内部角点的识别是摄像机定标过程中的关键环节。
An effective approach is proposed to automatically locate the internal target corners of a planar checkerboard pattern image, based on the characteristics of the vanishing point, the grid line architecture and the local gradation. 提出了一种利用棋盘格模板图像中的消失点和栅格线特征以及局部灰度特征,实现棋盘格模板角点自动定位的方法。
This method used the40% gray level reference checkerboard image which is illuminated by computer. 该方法利用了40%灰度参考棋盘格图像,参考棋盘格图像是用电脑绘画的。