基于机器视觉的工业机器人相机标定方法研究
Research on Camera Calibration Method of Industrial Robot Based on Machine Vision
许鸿萍1
作者信息
- 1. 闽江师范高等专科学校,福州 350108
- 折叠
摘要
在工业机器人的视觉智能化应用中,需要通过几何相机标定(Geometric Camera Calibration,GCC)来确定入射光线与图像像素之间的关系.相机标定是工业机器人精确定位和抓取的前提.基于此,研究基于机器视觉的工业机器人相机标定方法,建立相机成像模型与坐标系,分析基于MATLAB和基于VisionPro的相机标定方法,对比这两种方法的标定结果,得出基于VisionPro的相机标定方法精度更高的结论.
Abstract
In the visual intelligent application of industrial robots,Geometric Camera Calibration(GCC)is needed to determine the relationship between incident light and image pixels.Camera calibration is the premise of accurate positioning and grasping of industrial robots.Based on this,the camera calibration method of industrial robot based on machine vision was studied,the camera imaging model and coordinate system were established,and the camera calibration methods based on MATLAB and VisionPro were analyzed.By comparing the calibration results of the two methods,it was concluded that the camera calibration method based on VisionPro had higher accuracy.
关键词
相机标定/机器视觉/MATLAB/VisionProKey words
camera calibration/machine vision/MATLAB/VisionPro引用本文复制引用
出版年
2024
NETL
NSTL
万方数据