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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Clustering of text collections based on PART neural network and similarity measure Target object announcement by synchronous blinking of a robot and an object Design and implementation of adaptive dynamic controllers for wheeled mobile robots Applying weighted mean aggregation to edge detection of images Adaptive dynamic surface control for fault-tolerant multi-robot systems
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1