基于区域模板匹配的多视角海岸线图像拼接方法

Bo Wang, Zhiqiang Wei, Z. Li, Wei Hu, Shuang Wang, Shugang Zhang, Changehe Du, Wenjuan Shi
{"title":"基于区域模板匹配的多视角海岸线图像拼接方法","authors":"Bo Wang, Zhiqiang Wei, Z. Li, Wei Hu, Shuang Wang, Shugang Zhang, Changehe Du, Wenjuan Shi","doi":"10.1109/ICSESS.2017.8343005","DOIUrl":null,"url":null,"abstract":"Coastal environment is one of the most important part in human activities environment, so coastline studying has great significance to us. Since the coastline stretches widely, shot by many cameras at the same time in different regions currently, and we need spliced it into a complete coastline for further study. However, the feature points of the beach are difficult to be extracted, we use the region-based template matching method to splice it in this paper. An efficient template matching method was proposed to solve the time-consuming classical algorithm of exhaustive search and low efficiency of template selection. Through the experiments, most of the coastline can be spliced better and faster than MAD method.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Region-based template matching method for multi-view coastline image stitching\",\"authors\":\"Bo Wang, Zhiqiang Wei, Z. Li, Wei Hu, Shuang Wang, Shugang Zhang, Changehe Du, Wenjuan Shi\",\"doi\":\"10.1109/ICSESS.2017.8343005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Coastal environment is one of the most important part in human activities environment, so coastline studying has great significance to us. Since the coastline stretches widely, shot by many cameras at the same time in different regions currently, and we need spliced it into a complete coastline for further study. However, the feature points of the beach are difficult to be extracted, we use the region-based template matching method to splice it in this paper. An efficient template matching method was proposed to solve the time-consuming classical algorithm of exhaustive search and low efficiency of template selection. Through the experiments, most of the coastline can be spliced better and faster than MAD method.\",\"PeriodicalId\":179815,\"journal\":{\"name\":\"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"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.2017.8343005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","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.2017.8343005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

海岸带环境是人类活动环境的重要组成部分,海岸带研究对我们具有重要意义。由于海岸线延伸的范围很广,目前在不同的区域有多台摄像机同时拍摄,我们需要将其拼接成一个完整的海岸线进行进一步的研究。但海滩特征点难以提取,本文采用基于区域的模板匹配方法对其进行拼接。针对经典穷举搜索算法耗时长、模板选择效率低的问题,提出了一种高效的模板匹配方法。通过实验,可以比MAD方法更好更快地拼接大部分海岸线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Region-based template matching method for multi-view coastline image stitching
Coastal environment is one of the most important part in human activities environment, so coastline studying has great significance to us. Since the coastline stretches widely, shot by many cameras at the same time in different regions currently, and we need spliced it into a complete coastline for further study. However, the feature points of the beach are difficult to be extracted, we use the region-based template matching method to splice it in this paper. An efficient template matching method was proposed to solve the time-consuming classical algorithm of exhaustive search and low efficiency of template selection. Through the experiments, most of the coastline can be spliced better and faster than MAD method.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 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