A novel calibration method based on heuristic B-spline model for fish-eye lenses

Jie-Shou Lu, Chih-Li Huo, Yu-Hsiang Yu, Tsung-Ying Sun
{"title":"A novel calibration method based on heuristic B-spline model for fish-eye lenses","authors":"Jie-Shou Lu, Chih-Li Huo, Yu-Hsiang Yu, Tsung-Ying Sun","doi":"10.1109/ICSSE.2013.6614701","DOIUrl":null,"url":null,"abstract":"Distortion model vary from lens to lens even are same type camera because some unavoidable imperfections during manufacturing. Therefore we propose a novel calibration method based on heuristic B-spline model to identify the distortion model. Unlike common distortion models, proposed heuristic B-spline model can get better calibrated result. In order to evaluate the result of calibration, a test image is considered to compare proposed method with other distortion models. The experiment is shown that the proposed method has less mean square error (MSE) than others.","PeriodicalId":124317,"journal":{"name":"2013 International Conference on System Science and Engineering (ICSSE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on System Science and Engineering (ICSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSE.2013.6614701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Distortion model vary from lens to lens even are same type camera because some unavoidable imperfections during manufacturing. Therefore we propose a novel calibration method based on heuristic B-spline model to identify the distortion model. Unlike common distortion models, proposed heuristic B-spline model can get better calibrated result. In order to evaluate the result of calibration, a test image is considered to compare proposed method with other distortion models. The experiment is shown that the proposed method has less mean square error (MSE) than others.
基于启发式b样条模型的鱼眼镜头标定新方法
由于在制造过程中存在一些不可避免的缺陷,即使是同一型号的相机,不同镜头的畸变也不尽相同。为此,我们提出了一种基于启发式b样条模型的校正方法来识别畸变模型。与常用的失真模型不同,所提出的启发式b样条模型能得到更好的校正结果。为了评估校准结果,考虑了一幅测试图像,将所提出的方法与其他畸变模型进行比较。实验表明,该方法具有较小的均方误差(MSE)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信