John C. Anderson, M. Davis, Kayo Fujiwara, Tie Fang, Jose M. Andres, Michael Nedbal
{"title":"Web-based scientific visualization software for geospatial displays and collaborative applications","authors":"John C. Anderson, M. Davis, Kayo Fujiwara, Tie Fang, Jose M. Andres, Michael Nedbal","doi":"10.23919/OCEANS.2011.6107096","DOIUrl":null,"url":null,"abstract":"This paper describes recent efforts to create a fully interactive visualization system that operates within a standard desktop web browser. We present the client-server architecture of the new system, in which a visualization server is able to stream rendered images to a lightweight client operating within a user's web browser. We show that this system is practical in various usage scenarios, including a marine environmental display and collaborative visualization of massive LIDAR point clouds, and that it is an effective means to bring scientific visualization to low-powered desktops computers and tablets.","PeriodicalId":19442,"journal":{"name":"OCEANS'11 MTS/IEEE KONA","volume":"68 1","pages":"1-7"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"OCEANS'11 MTS/IEEE KONA","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/OCEANS.2011.6107096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper describes recent efforts to create a fully interactive visualization system that operates within a standard desktop web browser. We present the client-server architecture of the new system, in which a visualization server is able to stream rendered images to a lightweight client operating within a user's web browser. We show that this system is practical in various usage scenarios, including a marine environmental display and collaborative visualization of massive LIDAR point clouds, and that it is an effective means to bring scientific visualization to low-powered desktops computers and tablets.