A template matching algorithm for high precision positioning

Wei Hu, Bo Wang
{"title":"A template matching algorithm for high precision positioning","authors":"Wei Hu, Bo Wang","doi":"10.1109/ICSESS.2017.8343011","DOIUrl":null,"url":null,"abstract":"We propose a novel method for template matching in unconstrained environments. The essence of it is the Multiple Information Matching (MSCE) which combines SSDA, CLD, EHD, a variety of algorithms, a useful, robust and parameter-free similarity measure between two sets of points. Since the SSDA algorithm was easy to influence the image noise and illumination, CLD and EHD are added to make the matching more accurate. Experimental results show that MSCE algorithm is more accurate in matching position.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2017.8343011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

We propose a novel method for template matching in unconstrained environments. The essence of it is the Multiple Information Matching (MSCE) which combines SSDA, CLD, EHD, a variety of algorithms, a useful, robust and parameter-free similarity measure between two sets of points. Since the SSDA algorithm was easy to influence the image noise and illumination, CLD and EHD are added to make the matching more accurate. Experimental results show that MSCE algorithm is more accurate in matching position.
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
高精度定位的模板匹配算法
提出了一种新的无约束环境下的模板匹配方法。它的本质是多信息匹配(MSCE),它结合了SSDA、CLD、EHD等多种算法,是一种有用的、鲁棒的、无参数的两组点之间的相似性度量。由于SSDA算法容易影响图像噪声和光照,为了使匹配更加准确,加入了CLD和EHD。实验结果表明,MSCE算法在匹配位置上具有更高的精度。
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
Critical analysis of feature model evolution A key technology survey and summary of dynamic network visualization Soft decision strategy design for signal demodulation in IEEE 802.11 protocol suite based wireless communication process A prediction method based on improved ridge regression SuperedgeRank algorithm and its application for core technology identification
×
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