Automatic estimation of distortion coefficient for correcting radial distortion

Woon Cho, Minjung Lee, Hyungtae Kim, J. Paik
{"title":"Automatic estimation of distortion coefficient for correcting radial distortion","authors":"Woon Cho, Minjung Lee, Hyungtae Kim, J. Paik","doi":"10.23919/ELINFOCOM.2018.8330606","DOIUrl":null,"url":null,"abstract":"This study proposes the facial landmark points based distortion coefficients estimation to overcome the radial distortion. Existing methods estimate the distortion rate using the predefined information, such as design model of lens, pattern information, and prior learning. The extracted scene information based on the proposed method successively correct the distortion in distortion image without predefined information and significantly improves the predefined step of distortion correction method.","PeriodicalId":413646,"journal":{"name":"2018 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Electronics, Information, and Communication (ICEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ELINFOCOM.2018.8330606","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This study proposes the facial landmark points based distortion coefficients estimation to overcome the radial distortion. Existing methods estimate the distortion rate using the predefined information, such as design model of lens, pattern information, and prior learning. The extracted scene information based on the proposed method successively correct the distortion in distortion image without predefined information and significantly improves the predefined step of distortion correction method.
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
校正径向畸变的畸变系数自动估计
为了克服径向畸变,提出了基于人脸地标点的畸变系数估计方法。现有方法利用镜头的设计模型、图案信息和先验学习等预先定义的信息来估计畸变率。基于该方法提取的场景信息对没有预定义信息的畸变图像进行了逐次校正,显著提高了畸变校正方法的预定义步长。
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
Sensing voltage compensation circuit for low-power dram bit-line sense amplifier Coordinate-RNN for error correction on numerical weather prediction Pulsed PMOS sense amplifier for high speed single-ended SRAM An estimation of road surface conditions using participatory sensing Cycle-accurate full system simulation for CPU+GPU+HBM computing platform
×
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