{"title":"基于SLAM和SfM的前瞻性协同室外重建","authors":"Philipp Fleck, D. Schmalstieg, Clemens Arth","doi":"10.1109/SEARIS.2016.7551588","DOIUrl":null,"url":null,"abstract":"In this position paper, we argue about a concept for collaborative outdoor reconstruction using SLAM clients and a scalable SfM engine running in the cloud. Based on previous observations and results, we discuss issues like illumination changes, overall scalability or the dacay of buildings, having a serious impact on the practical feasibility of such a system. Revisiting ideas and insights from work on outdoor reconstruction and localization done in the last couple of years, we outline an idea for collaborative and vivid reconstruction of the world, potentially through the cameras of millions of mobile devices.","PeriodicalId":131714,"journal":{"name":"2016 IEEE 9th Workshop on Software Engineering and Architectures for Realtime Interactive Systems (SEARIS)","volume":"352 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Visionary collaborative outdoor reconstruction using SLAM and SfM\",\"authors\":\"Philipp Fleck, D. Schmalstieg, Clemens Arth\",\"doi\":\"10.1109/SEARIS.2016.7551588\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this position paper, we argue about a concept for collaborative outdoor reconstruction using SLAM clients and a scalable SfM engine running in the cloud. Based on previous observations and results, we discuss issues like illumination changes, overall scalability or the dacay of buildings, having a serious impact on the practical feasibility of such a system. Revisiting ideas and insights from work on outdoor reconstruction and localization done in the last couple of years, we outline an idea for collaborative and vivid reconstruction of the world, potentially through the cameras of millions of mobile devices.\",\"PeriodicalId\":131714,\"journal\":{\"name\":\"2016 IEEE 9th Workshop on Software Engineering and Architectures for Realtime Interactive Systems (SEARIS)\",\"volume\":\"352 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 9th Workshop on Software Engineering and Architectures for Realtime Interactive Systems (SEARIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SEARIS.2016.7551588\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 9th Workshop on Software Engineering and Architectures for Realtime Interactive Systems (SEARIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEARIS.2016.7551588","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Visionary collaborative outdoor reconstruction using SLAM and SfM
In this position paper, we argue about a concept for collaborative outdoor reconstruction using SLAM clients and a scalable SfM engine running in the cloud. Based on previous observations and results, we discuss issues like illumination changes, overall scalability or the dacay of buildings, having a serious impact on the practical feasibility of such a system. Revisiting ideas and insights from work on outdoor reconstruction and localization done in the last couple of years, we outline an idea for collaborative and vivid reconstruction of the world, potentially through the cameras of millions of mobile devices.