A. Knoll, Ingo Wald, Steven G. Parker, Charles D. Hansen
{"title":"Interactive Isosurface Ray Tracing of Large Octree Volumes","authors":"A. Knoll, Ingo Wald, Steven G. Parker, Charles D. Hansen","doi":"10.1109/RT.2006.280222","DOIUrl":null,"url":null,"abstract":"We present a technique for ray tracing isosurfaces of large compressed structured volumes. Data is first converted into a lossless-compression octree representation that occupies a fraction of the original memory footprint. An isosurface is then dynamically rendered by tracing rays through a min/max hierarchy inside interior octree nodes. By embedding the acceleration tree and scalar data in a single structure and employing optimized octree hash schemes, we achieve competitive frame rates on common multicore architectures, and render large time-variant data that could not otherwise be accommodated","PeriodicalId":158017,"journal":{"name":"2006 IEEE Symposium on Interactive Ray Tracing","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"82","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE Symposium on Interactive Ray Tracing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RT.2006.280222","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 82
Abstract
We present a technique for ray tracing isosurfaces of large compressed structured volumes. Data is first converted into a lossless-compression octree representation that occupies a fraction of the original memory footprint. An isosurface is then dynamically rendered by tracing rays through a min/max hierarchy inside interior octree nodes. By embedding the acceleration tree and scalar data in a single structure and employing optimized octree hash schemes, we achieve competitive frame rates on common multicore architectures, and render large time-variant data that could not otherwise be accommodated