{"title":"Cube-3: a real-time architecture for high-resolution volume visualization","authors":"H. Pfister, A. Kaufman","doi":"10.1145/197938.197969","DOIUrl":null,"url":null,"abstract":"This paper describes a high-performance special-purpose system, the Cube-3 machine, for displaying and manipulating high-resolution volumetric datasets in real-time. Cube-3 will allow scientists, engineers, and biomedical researchers to interactively visualize and investigate their static high-resolution sampled, simulated, or computed volumetric dataset. Furthermore, once acquisition devices or mechanisms are capable of acquiring a complete high-resolution dynamic dataset in real-time, Cube-3, tightly coupled with them, will be capable of delivering real-time 4D (spatial-temporal) volume visualization, a task currently not possible with present technologies.","PeriodicalId":124559,"journal":{"name":"Symposium on Volume Visualization","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"58","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Symposium on Volume Visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/197938.197969","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 58
Abstract
This paper describes a high-performance special-purpose system, the Cube-3 machine, for displaying and manipulating high-resolution volumetric datasets in real-time. Cube-3 will allow scientists, engineers, and biomedical researchers to interactively visualize and investigate their static high-resolution sampled, simulated, or computed volumetric dataset. Furthermore, once acquisition devices or mechanisms are capable of acquiring a complete high-resolution dynamic dataset in real-time, Cube-3, tightly coupled with them, will be capable of delivering real-time 4D (spatial-temporal) volume visualization, a task currently not possible with present technologies.