{"title":"An Algorithm for Coplanar Camera Calibration","authors":"K. Sirisantisamrid, K. Tirasesth, T. Matsuura","doi":"10.1109/IIH-MSP.2007.72","DOIUrl":null,"url":null,"abstract":"This paper proposes an algorithm to determine the camera parameters for coplanar camera calibration. The proposed method requires only one image to compute the camera parameters. The intermediate parameters defined in terms of the camera parameters are determined by a linear method. Then, the final intermediate parameters and the lens distortion coefficients are computed iteratively using a nonlinear optimization method in which the parameters obtained from the linear method are used as initial parameters. Finally, the camera parameters are determined from the final intermediate parameters. The proposed method is tested and compared with the conventional method using the synthetic images. The experimental results show that the camera parameters determined by the proposed method give accurate and stable.","PeriodicalId":385132,"journal":{"name":"Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIH-MSP.2007.72","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper proposes an algorithm to determine the camera parameters for coplanar camera calibration. The proposed method requires only one image to compute the camera parameters. The intermediate parameters defined in terms of the camera parameters are determined by a linear method. Then, the final intermediate parameters and the lens distortion coefficients are computed iteratively using a nonlinear optimization method in which the parameters obtained from the linear method are used as initial parameters. Finally, the camera parameters are determined from the final intermediate parameters. The proposed method is tested and compared with the conventional method using the synthetic images. The experimental results show that the camera parameters determined by the proposed method give accurate and stable.