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}
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.