摘要
棋盘格模板角点的识别与定位是摄像机定标过程中的关键环节,而自动识别与定位则是实现定标过程自动化的前提条件。为了实现定标过程自动化,提出了一种有效的方法,即利用棋盘格模板图像内部角点的局部灰度特征和由栅格线构成的结构特征,实现了内部角点的自动识别与定位。实验结果表明,该方法是有效和实用的,其能明显地加快定标速度,缩短定标时间,从而为基于多幅棋盘格模板图像的摄像机定标过程自动化创造了条件。
Recognizing and locating the internal corners of a planar checkerboard pattern image is very important in camera calibration. An effective approach is proposed to automatically recognize and locate the internal target corners of the planar checkerboard pattern image based on the characteristics of the local intensity and the grid line. architecture. Experiments show that the approach obviously reduces the time cost for camera calibration, improves the speed of calibration process and is especially adapted for automatic calibration based on multiple images.
出处
《中国图象图形学报》
CSCD
北大核心
2007年第4期618-622,共5页
Journal of Image and Graphics
关键词
棋盘格模板
摄像机定标
角点检测
目标识别
checkerboard pattern, camera calibration, corner detecting, object recognition
