Real time reconstruction of volumes from very large datasets using CUDA

This article presents a memory efficient implementation of the Marching Cubes algorithm using NVIDIA's CUDA technology. The algorithm can handle datasets that are normally too large for current hardware by splitting the initial volume into several smaller subvolumes while minimizing extra compu...

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Bibliographic Details
Published in2011 15th International Conference on System Theory, Control, and Computing pp. 1 - 5
Main Authors Petrescu, L., Morar, A., Moldoveanu, F., Asavei, V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2011
Subjects
Graphics processing unit
Image reconstruction
Isosurfaces
Random access memory
Real time systems
Surface reconstruction
Three dimensional displays
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ISBN9781457711732
1457711737

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Summary:This article presents a memory efficient implementation of the Marching Cubes algorithm using NVIDIA's CUDA technology. The algorithm can handle datasets that are normally too large for current hardware by splitting the initial volume into several smaller subvolumes while minimizing extra computations caused by subvolume overlapping. Moreover, our approach is scalable, making it easy to benefit from additional computational resources.
ISBN:9781457711732
1457711737