一种基于最小二乘法的工业相机系统标定方法  

A System Calibration Method of Industrial Camera Based on Least Square Method

作　　者：张浩然 周杰 柳邦 万洪波 瞿少成[1] ZHANG Haoran;ZHOU Jie;LIU Bang;WAN Hongbo;QU Shaocheng(College of Physical Science and Technology,Central China Normal University,Wuhan 430079;Hubei Sanjiang Aerospace Hongfeng Control Co.,Ltd.,Xiaogan 432000)

机构地区：[1]华中师范大学物理科学与技术学院,武汉430079 [2]湖北三江航天红峰控制有限公司,孝感432000

出　　处：《计算机与数字工程》2023年第11期2518-2523,共6页Computer & Digital Engineering

基　　金：国家自然科学基金项目(编号:61673190)资助。

摘　　要：针对精密激光加工领域中机器视觉成像高精度与高性能问题,提出了一种基于最小二乘法的工业相机系统标定方法。首先,基于工业相机的成像原理,分析了工业相机四种坐标系及其转换关系。其次,结合毫米级应用场景与某种工业相机的参数规格,建立了一种二次多项式最小二乘法的系统标定模型。然后,搭建了一套工业相机视觉运动加工平台,制作了九孔标定板,并基于Visual Studio 2010平台和MFC框架开发了标定数据计算软件。实验结果表明,该系统标定模型的坐标误差为0.001mm级,为后续系统运动控制精度提供了保证。To solve the problem of high precision and high performance of machine vision imaging in the field of precision la⁃ser processing,a calibration method of industrial camera system based on the least square method is proposed.First of all,based on the imaging principle of industrial cameras,four coordinate systems of industrial cameras and their conversion relationships are ana⁃lyzed.Secondly,a system calibration model of the quadratic polynomial least square method is established,combined with millime⁃ter-level application scenarios and the parameter specifications of a certain industrial camera.Then,a set of industrial camera visu⁃al motion processing platform is built,a nine-hole calibration board is produced,and calibration data calculation software is devel⁃oped based on the Visual Studio 2010 platform and MFC framework.The experimental results show that the coordinate error of the system calibration model is 0.001mm level,which provides a guarantee for the accuracy of the follow-up system motion control.

关 键 词：机器视觉 工业相机 最小二乘法 系统标定 MFC 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]