Parallel Surface Reconstruction for Particle‐Based Fluids
Parallel Surface Reconstruction for Particle‐Based Fluids
复制标题
DOI：
10.1111/j.1467-8659.2012.02096.x
复制
发表时间：
2012-09
影响因子：
2.5
通讯作者：
Gizem Akinci;Markus Ihmsen;Nadir Akinci;M. Teschner
中科院分区：
文献类型：
--
作者：
Gizem Akinci;Markus Ihmsen;Nadir Akinci;M. Teschner
本文提出了一种新的方法，可以提高使用Marching Cubes进行基于粒子的流体的高质量表面重建的效率。通过仅在表面周围的窄带中构造标量场，计算复杂度和存储器消耗与流体表面而不是体积成比例。此外，提出了一种并行实现的方法。所提出的方法与各种标量场的建设方法。实验表明，我们的方法即使在单核CPU上也能有效地重建高质量的表面网格。它在多核CPU上几乎线性扩展，在GPU上的运行速度比原始标量场构造方法快50倍。
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.