Pub Date : 1997-06-09DOI: 10.1109/DAGSTUHL.1997.1423117
Jörg Meyer, S. Gelder, T. E. Schneider, H. Hagen
Interactive rendering of large data sets requires efficient algorithms and accelerated graphics hardware. Both efficiency and speed can be improved, but none of these alone guarantees interactive response time. If a scene is too complex, performance decreases, and neither faster algorithms nor speeding up hardware can ensure interactive performance. This means that certain timing characteristics need to be incorporated in order to obtain interactive behavior.In this paper we propose a new approach to interactive rendering by introducing a rendering pipeline with special timing predicates. We use this technique for applications in the field of medical imaging. Large data sets derived from CT or MRI scans and CAD designs must be rendered in real-time. The system should provide immediate feedback to the user. Interactive behavior enables the user to manipulate and adjust the image straight on demand.
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Pub Date : 1997-06-09DOI: 10.1109/DAGSTUHL.1997.1423110
D. Kao
The Line Integral Convolution (LIC) algorithm has received a lot of attention and interest. Yet, only a few of the current LIC related algorithms deal specifically with color textures for automatic detection of flow features. In this paper, I give a brief review of current work in this area.
{"title":"LIC For Surface Flow Feature Detection","authors":"D. Kao","doi":"10.1109/DAGSTUHL.1997.1423110","DOIUrl":"https://doi.org/10.1109/DAGSTUHL.1997.1423110","url":null,"abstract":"The Line Integral Convolution (LIC) algorithm has received a lot of attention and interest. Yet, only a few of the current LIC related algorithms deal specifically with color textures for automatic detection of flow features. In this paper, I give a brief review of current work in this area.","PeriodicalId":268314,"journal":{"name":"Scientific Visualization Conference (dagstuhl '97)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128016924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents a technique to losslessly compress and progressively transmit floating point data using wavelets. MPI (Message Passing Interface) is employed in the implementation of this technique so that the parallelized solver which runs in a remote computing environment and the visualization tool which runs on a local graphics workstation can communicate.
{"title":"Multiresolutional Visualization of Evolving Distributed Simulations Using Wavelets and MPI","authors":"XiaoSong Du, R. Moorhead","doi":"10.1117/12.270309","DOIUrl":"https://doi.org/10.1117/12.270309","url":null,"abstract":"This paper presents a technique to losslessly compress and progressively transmit floating point data using wavelets. MPI (Message Passing Interface) is employed in the implementation of this technique so that the parallelized solver which runs in a remote computing environment and the visualization tool which runs on a local graphics workstation can communicate.","PeriodicalId":268314,"journal":{"name":"Scientific Visualization Conference (dagstuhl '97)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129419727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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