摘要
将计算机视觉引入到坐标测量系统中能够实现零件位姿的识别.在建立一阶径向畸变摄像机模型的基础上,分析并得到了需要标定才能确知的摄像机内外部参数,对求解这些参数的方法和步骤进行了详细说明,结合坐标测量机(CMM)精度高的特点及白色陶瓷标准球的良好光学特性提出了一种基于摄像机平动的非共面标定方法.标定实验及结果分析表明该标定方法最终在X、Y方向上所引起的误差小于0.4994mm.
The recognition for the position and pose of parts can be realized by introducing computer vision in coordinate measure system. Base on the camera model of one order radial deformation, the inner and outer parameters of camera were analyzed and educed. Then, the method and process of parameters calibration were explicated in detail. Combined the high precision of CMM with good optical properties of white ceramic normative sphere, one non-coplanar calibration method based on camera translation was put forward. The analysis of experiment results indicated that the eventual error which were caused by this calibration method less than 0. 4994 mm both in X and Y directions.
出处
《微电子学与计算机》
CSCD
北大核心
2009年第6期265-268,共4页
Microelectronics & Computer
基金
国家自然科学基金项目
关键词
径向畸变
摄像机
标定
坐标测量机
radial deformation
camera
calibration
coordinate measuring machine（CMM）
