{"title":"Research on the Method of Monocular Camera Calibration","authors":"阳阳 侯","doi":"10.12677/jisp.2023.121004","DOIUrl":null,"url":null,"abstract":"In order to reduce the error and improve the calibration accuracy, the calibration parameters obtained by the solution are nonlinear iteratively based on the plane checkerboard calibration method to minimize the reprojection error and find the global optimal solution. After analyzing the theoretical imaging model of the camera and studying the nonlinear camera imaging model after introducing distortion parameters, the camera transformation matrix and the parameters in the camera are solved, and finally the calibration results are optimized. The experimental results show that the mean calibration error of this method is 0.1402 and the standard deviation is 0.0207, which has higher accuracy and better stability than the traditional calibration method and has certain engineering practical significance.","PeriodicalId":69487,"journal":{"name":"图像与信号处理","volume":"7 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"图像与信号处理","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.12677/jisp.2023.121004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to reduce the error and improve the calibration accuracy, the calibration parameters obtained by the solution are nonlinear iteratively based on the plane checkerboard calibration method to minimize the reprojection error and find the global optimal solution. After analyzing the theoretical imaging model of the camera and studying the nonlinear camera imaging model after introducing distortion parameters, the camera transformation matrix and the parameters in the camera are solved, and finally the calibration results are optimized. The experimental results show that the mean calibration error of this method is 0.1402 and the standard deviation is 0.0207, which has higher accuracy and better stability than the traditional calibration method and has certain engineering practical significance.