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首页> 外文会议>International Conference on Computational Science and Its Applications(ICCSA 2006) pt.1; 20060508-11; Glasgow(GB) >Surface Reconstruction from Large Point Clouds Using Virtual Shared Memory Manager
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Surface Reconstruction from Large Point Clouds Using Virtual Shared Memory Manager

机译：使用虚拟共享内存管理器从大型点云进行表面重构

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摘要

Surface reconstruction is a common problem in computer graphics. Given a set of points sampled from some surface, a triangle mesh interpolating or approximating the points is to be obtained. One of very often used techniques for solving this problem is the selection of surface triangles from the set of Delaunay tetrahedronization faces. In the case of large data, it is difficult to obtain the tetrahedronization due to its huge memory requirements. One of possible solutions is to use distributed computing. Here, we describe the newly developed VSM (Virtual Shared Memory) distributed toolkit and its utilization for the task of surface reconstruction. By our approach, we were able to process dataset having 1.4M points on 4xP4 interconnected via 100Mb Ethernet in 6 hours. About 5GB of memory was consumed during the reconstruction.
机译：表面重建是计算机图形学中的常见问题。给定从某个表面采样的一组点，将获得插值或逼近这些点的三角形网格。解决此问题的一种非常常用的技术是从Delaunay四面体化面集中选择表面三角形。在大数据的情况下，由于其巨大的内存需求，很难获得四面体化。一种可能的解决方案是使用分布式计算。在这里，我们描述了新开发的VSM（虚拟共享内存）分布式工具包及其在表面重建任务中的利用。通过我们的方法，我们能够在6小时内处理通过100Mb以太网互连的4xP4上具有1.4M点的数据集。重建期间消耗了大约5GB的内存。

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