摘要
为了提高相机标定精度,提出一种基于改良天鹰优化器的单目相机标定方法:通过张正友标定法计算得到单目相机的内外参数,根据所得相机参数计算标定图像中所有角点的平均重投影误差并建立目标函数,采用经过自适应分配机制、动态补偿策略以及非线性潮汐策略改良的天鹰优化器进行优化,获取最优的相机标定内部参数和畸变系数,从而提高相机非线性标定过程的寻优精度。实验结果表明,改良天鹰优化器算法在不同基准测试函数上寻优结果优越,本文提出的相机优化标定方法得到的标定结果精度更高,重投影误差为0.006 pixels。
To improve the camera calibration accuracy,this paper proposes a monocular camera calibration method based on the Modified Aquila Optimizer:The internal and external parameters of the monocular camera are calculated by Zhang Zheng You calibration method.Based on the obtained camera parameters,the average reprojection error of all corners in the calibration image is calculated and the objective function is established.The Aquila Optimizer which is improved by adaptive allocation mechanism,dynamic compensation strategy and nonlinear tide strategy is used for optimization to obtain the optimal internal parameters and distortion coefficient of camera calibration.Thus,the optimization accuracy of the camera nonlinear calibration process is improved.The experimental results show that the improved Aquila optimizer algorithm has superior optimization results on different benchmark test functions.The calibration results obtained by the camera optimization calibration method proposed in this paper are more accurate,and the reprojection error is 0.006pixels.
作者
华杨
黄福珍
Hua Yang;Huang Fuzhen(College of Automation Engineering,Shanghai University of Electric Power,Shanghai 200090,China)
出处
《电子测量技术》
北大核心
2023年第16期126-137,共12页
Electronic Measurement Technology
基金
上海市电站自动化技术重点实验室项目(13DZ2273800)资助
关键词
相机标定
机器视觉
天鹰优化器算法
内部参数
畸变参数
重投影误差
camera calibration
machine vision
aquila optimizer algorithm
internal parameters
distortion parameter
reprojection error
作者简介
通信作者:华杨,硕士研究生,主要研究方向为图像处理和智能算法。E-mail:huayang9632@163.com;黄福珍,博士后,副教授,主要研究方向为计算机视觉、模式识别、智能信息处理等。E-mail:huangfzh@shiep.edu.cn
