{"title":"360度全景拼接技术的研究与应用","authors":"Yu Yan, Yuheng Ren, Xuchuan Zhou","doi":"10.1109/IFEEA51475.2020.00141","DOIUrl":null,"url":null,"abstract":"360° surrounding view stitching technology makes the images obtained from multiple surrounding view cameras applied by SURF algorithm. Through image correction and stitching and optimization, the four adjacent area images are fused using OpenCV's image stitching technology to obtain. This technology can present more clearly in various environments and is a technology with development potential.","PeriodicalId":285980,"journal":{"name":"2020 7th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research and Application of 360○Surrounding View Stitching Technology\",\"authors\":\"Yu Yan, Yuheng Ren, Xuchuan Zhou\",\"doi\":\"10.1109/IFEEA51475.2020.00141\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"360° surrounding view stitching technology makes the images obtained from multiple surrounding view cameras applied by SURF algorithm. Through image correction and stitching and optimization, the four adjacent area images are fused using OpenCV's image stitching technology to obtain. This technology can present more clearly in various environments and is a technology with development potential.\",\"PeriodicalId\":285980,\"journal\":{\"name\":\"2020 7th International Forum on Electrical Engineering and Automation (IFEEA)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 7th International Forum on Electrical Engineering and Automation (IFEEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IFEEA51475.2020.00141\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 7th International Forum on Electrical Engineering and Automation (IFEEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IFEEA51475.2020.00141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research and Application of 360○Surrounding View Stitching Technology
360° surrounding view stitching technology makes the images obtained from multiple surrounding view cameras applied by SURF algorithm. Through image correction and stitching and optimization, the four adjacent area images are fused using OpenCV's image stitching technology to obtain. This technology can present more clearly in various environments and is a technology with development potential.
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