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Isosurface extraction and interpretation on very large datasets in geophysics
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ACM Symposium on Solid and Physical Modeling archive
Proceedings of the 2008 ACM symposium on Solid and physical modeling table of contents
Stony Brook, New York
SESSION: Surface reconstruction table of contents
Pages 221-229  
Year of Publication: 2008
ISBN:978-1-60558-106-2
Authors
Guilhem Dupuy  Liuppa
Bruno Jobard  Liuppa, Inria-Magique3D
Sebastion Guillon  Total
Noomame Keskes  Total
Dimitri Komatitsch  Migp, Inria-Magique3D
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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ABSTRACT

In order to deal with the heavy trend in size increase of volumetric datasets, research in isosurface extraction has focused in the past few years on related aspects such as surface simplification and load balanced parallel algorithms.

We present in this paper a parallel, bloc-wise extension of the tandem algorithm [Attali et al. 2005], which simplifies on the fly an isosurface being extracted. Our approach minimizes the overall memory consumption using an adequate bloc splitting and merging strategy and with the introduction of a component dumping mechanism that drastically reduces the amount of memory needed for particular datasets such as those encountered in geophysics. As soon as detected, surface components are migrated to the disk along with a meta-data index (oriented bounding box, volume, etc) that will allow further improved exploration scenarios (small components removal or particularly oriented components selection for instance). For ease of implementation, we carefully describe a master and slave algorithm architecture that clearly separates the four required basic tasks. We show several results of our parallel algorithm applied on a 7000x1600x2000 geophysics dataset.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Mackerras, P. 1992. A fast parallel marching-cubes implementation on the Fujitsu AP1000. Tech. Rep. TR-CS-92-10, Canberra 0200 ACT, Australia.
 
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Muller, H., and Stark, M., 1993. Adaptive generation of surfaces in volume data.
 
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Niguet, S., and Nicod, J.-M. 1995. A load-balanced parallel implementation of the marching-cubes algorithm. Tech. Rep. 95--24, Laboratoire de I'nformatique du parallélisme de I'École Normale Supérieure de Lyon.
 
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Pivot, F., Dupuy, G., Guillon, S., and Ferry, J. N. 2007. Complex volumic seismic interpretation by new geobodies extraction strategy. In London 2007, 69th EAGE Conference Exhibition incorporating SPE Europec 2007.
 
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Collaborative Colleagues:
Guilhem Dupuy: colleagues
Bruno Jobard: colleagues
Sebastion Guillon: colleagues
Noomame Keskes: colleagues
Dimitri Komatitsch: colleagues