Parallel Surface Reconstruction for Particle-Based Fluids

No Thumbnail Available
Date
2012
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and Blackwell Publishing Ltd.
Abstract
This paper presents a novel method that improves the efficiency of high‐quality surface reconstructions for particle-based fluids using Marching Cubes. By constructing the scalar field only in a narrow band around the surface, the computational complexity and the memory consumption scale with the fluid surface instead of the volume. Furthermore, a parallel implementation of the method is proposed. The presented method works with various scalar field construction approaches. Experiments show that our method reconstructs high‐quality surface meshes efficiently even on single‐core CPUs. It scales nearly linearly on multi‐core CPUs and runs up to fifty times faster on GPUs compared to the original scalar field construction approaches.This paper presents a novel method that improves the efficiency of high‐quality surface reconstructions for particlebased fluids using Marching Cubes. By constructing the scalar field only in a narrow band around the surface, the computational complexity and the memory consumption scale with the fluid surface instead of the volume. Furthermore, a parallel implementation of the method is proposed. The presented method works with various scalar field construction approaches. Experiments show that our method reconstructs high‐quality surface meshes efficiently even on single‐core CPUs. It scales nearly linearly on multi‐core CPUs and runs up to fifty times faster on GPUs compared to the original scalar field construction approaches.
Description

        
@article{
10.1111:j.1467-8659.2012.02096.x
, journal = {Computer Graphics Forum}, title = {{
Parallel Surface Reconstruction for Particle-Based Fluids
}}, author = {
Akinci, G.
and
Ihmsen, M.
and
Akinci, N.
and
Teschner, M.
}, year = {
2012
}, publisher = {
The Eurographics Association and Blackwell Publishing Ltd.
}, ISSN = {
1467-8659
}, DOI = {
10.1111/j.1467-8659.2012.02096.x
} }
Citation
Collections