{"title":"基于共线点目标关节约束的摄像机场标定方法","authors":"Zhiyuan Dang, Zhiyi Zhang, Zhenhua Wang","doi":"10.1109/ICVR57957.2023.10169611","DOIUrl":null,"url":null,"abstract":"A method based on a specially designed coplanar point target and multiple projection invariants is proposed for efficient and rapid on-site calibration of visual measurement systems. The main features of this method include the separation of the distortion model from the camera model, the accurate determination of the distortion center using the fundamental matrix, and the definition of the distortion measure function based on constraints such as coplanar vanishing point, weighted line distance, and cross ratio invariance. The optimal distortion coefficients are then obtained through optimization using the Levenberg-Marquardt algorithm, followed by linear calibration of the camera intrinsic and extrinsic parameters. Experimental results demonstrate that this algorithm can rapidly and accurately obtain camera parameters, and it is easy to implement on-site in industrial settings.","PeriodicalId":439483,"journal":{"name":"2023 9th International Conference on Virtual Reality (ICVR)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Camera Field Calibration Method Using Collinear Point Target Joint Constraints\",\"authors\":\"Zhiyuan Dang, Zhiyi Zhang, Zhenhua Wang\",\"doi\":\"10.1109/ICVR57957.2023.10169611\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method based on a specially designed coplanar point target and multiple projection invariants is proposed for efficient and rapid on-site calibration of visual measurement systems. The main features of this method include the separation of the distortion model from the camera model, the accurate determination of the distortion center using the fundamental matrix, and the definition of the distortion measure function based on constraints such as coplanar vanishing point, weighted line distance, and cross ratio invariance. The optimal distortion coefficients are then obtained through optimization using the Levenberg-Marquardt algorithm, followed by linear calibration of the camera intrinsic and extrinsic parameters. Experimental results demonstrate that this algorithm can rapidly and accurately obtain camera parameters, and it is easy to implement on-site in industrial settings.\",\"PeriodicalId\":439483,\"journal\":{\"name\":\"2023 9th International Conference on Virtual Reality (ICVR)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 9th International Conference on Virtual Reality (ICVR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICVR57957.2023.10169611\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 9th International Conference on Virtual Reality (ICVR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVR57957.2023.10169611","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Camera Field Calibration Method Using Collinear Point Target Joint Constraints
A method based on a specially designed coplanar point target and multiple projection invariants is proposed for efficient and rapid on-site calibration of visual measurement systems. The main features of this method include the separation of the distortion model from the camera model, the accurate determination of the distortion center using the fundamental matrix, and the definition of the distortion measure function based on constraints such as coplanar vanishing point, weighted line distance, and cross ratio invariance. The optimal distortion coefficients are then obtained through optimization using the Levenberg-Marquardt algorithm, followed by linear calibration of the camera intrinsic and extrinsic parameters. Experimental results demonstrate that this algorithm can rapidly and accurately obtain camera parameters, and it is easy to implement on-site in industrial settings.