Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2007: administrator
Metadata Last Update2020: administrator
Citation KeyRibeiroMaxBenOliFar:2007:MeEfRa
TitleMemory-Aware and Efficient Ray-Casting Algorithm
FormatPrinted, On-line.
Access Date2021, Jan. 25
Number of Files1
Size232 KiB
Context area
Author1 Ribeiro, Saulo
2 Maximo, André
3 Bentes, Cristiana
4 Oliveira, Antônio
5 Farias, Ricardo
Affiliation1 COPPE - Systems Engineering Program, Federal University of Rio de Janeiro - Brazil
2 COPPE - Systems Engineering Program, Federal University of Rio de Janeiro - Brazil
3 Department of Systems Engineering, State University of Rio de Janeiro - Brazil
4 COPPE - Systems Engineering Program, Federal University of Rio de Janeiro - Brazil
5 COPPE - Systems Engineering Program, Federal University of Rio de Janeiro - Brazil
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
DateOct. 7-10, 2007
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2008-07-17 14:09:44 :: -> administrator ::
2009-08-13 20:38:33 :: administrator -> banon ::
2010-08-28 20:02:30 :: banon -> administrator ::
2020-02-19 03:06:19 :: administrator -> :: 2007
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
KeywordsScientific Visualization, Large Data Sets, Volumetric Rendering, Ray-Casting.
AbstractRay-casting implementations require that the connectivity between the cells of the dataset to be explicitly computed and kept in memory. This constitutes a huge obstacle for obtaining real-time rendering for very large models. In this paper, we address this problem by introducing a new implementation of the ray-casting algorithm for irregular datasets. Our implementation optimizes the memory usage of past implementations by exploring ray coherence. The idea is to keep in main memory the information of the faces traversed by the ray cast through every pixel under the projection of a visible face. Our results show that exploring pixel coherence reduces considerably the memory usage, while keeping the performance of our algorithm competitive with the fastest previous ones.
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Target Fileribeiro_visiblefaces.pdf
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