摘要
通过相机标定建立图像像素坐标和空间位置坐标之间的对应关系,是机器视觉在机器人领域应用的关键环节。本文介绍了针孔相机标定模型,然后根据针孔相机成像原理分析相机标定的方法。通过传统的线性标定法和张正友标定法对相机进行标定,并在MATLAB上仿真,结果显示张正友标定法的误差小于传统线性标定法的误差,张正友标定法精度更高。
Establishing the correspondence between image pixel coordinates and spatial position coordinates by camera calibration is a key link in the application of machine vision in the field of robotics. This paper introduces the pinhole camera calibration model and then analyzes the camera calibration method based on the pinhole camera imaging principle. The camera is calibrated by the traditional linear calibration and Zhang Zhengyou calibration,and simulated on MATLAB. The results show that the error of Zhang Zhengyou calibration is smaller than that of the traditional linear calibration.
作者
马宏伟
王佐勋
MA Hong-wei;WANG Zuo-xun(School of Electrical Engineering and Automation, Qilu University of Technology ( Shandong Academy of Sciences),Jinan 250353,China)
出处
《齐鲁工业大学学报》
2019年第4期57-63,共7页
Journal of Qilu University of Technology
基金
国家自然科学基金(21606138).
