一种改进的基于九圆点的摄像机自标定算法  

An Improved Camera Self-calibration Algorithm Based on Nine Dots

作　　者：陈洵凛 殷素峰[1] 黎小巨[1] 张锦荣[1] CHEN Xunlin;YIN Sufeng;LI Xiaoju;ZHANG Jinrong(School of Intelligent Manufacturing,City College of Dongguan Institute of Technology,Dongguan Guangdong 523419,China)

机构地区：[1]东莞理工学院城市学院智能制造学院,广东东莞523419

出　　处：《机床与液压》2021年第1期86-90,共5页Machine Tool & Hydraulics

基　　金：东莞市社会科技发展项目(20185071511505,20185071511518);广东省重大科研青年创新人才项目(2017KQNCX256);东莞理工学院城市学院青年教师发展基金项目(2020QJZ001Z,2020QJY004Z)。

摘　　要：为解决目前现有激光切割视觉系统单目摄像机标定算法存在的抗噪性能差、精度低等问题,提出一种改进的基于九圆点的摄像机自标定方法。对算法中的理论进行了分析和实验验证。将改进的九圆点标定算法与现有的单目摄像机快速标定算法进行对比实验。结果表明:改进的摄像机自标定算法相对于现有的单目摄像机快速标定算法抗噪性能更好、精度更高。In order to solve the problems of poor anti-noise performance and low precision existing in the current rapid calibration method for monocular camera of laser cutting vision system,an improved camera self-calibration method based on nine dots was proposed.The theory of the algorithm was analyzed and verified by experiment.The improved nine dots calibration algorithm was compared with the existing monocular camera fast calibration algorithm by experiment.The results show that the improved nine dot calibration algorithm has better anti-noise performance and higher accuracy than the existing monocular camera fast calibration algorithm.

关 键 词：激光切割 视觉系统 九圆点 摄像机自标定 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]