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Fast computation of three-dimensional convex hulls using graphics hardware

机译:使用图形硬件快速计算三维凸包

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摘要

This paper describes an algorithm for computing three-dimensional convex hulls. First, we introduce a simple algorithm to compute two-dimensional convex hulls using graphics hardware. This algorithm computes the edges and the facets of the convex hulls by analyzing bitmap images drawn using given points. Graphics hardware can generate bitmap images of three-dimensional objects very rapidly. We then expand the algorithm to compute three-dimensional convex hulls. Finally, we apply the algorithm to compute Delaunay diagrams. The algorithm is very simple. Hoff et al. reported an algorithm to draw Voronoi diagrams using graphics hardware [3]. Our algorithms are based on the same technique used by [3]. However, our algorithm employs an analyzing phase of the images and obtains topological information from the image. The diagrams produced by our algorithm are not strict Delaunay diagrams, because the images we obtain using graphics hardware are bitmap images and are not continuous. Therefore, they may contain some errors but, because of the simplicity of the algorithm, they are stable compared with ordinary algorithms, without a requirement for special techniques, such as symbolic perturbation. The algorithms can be easily implemented.
机译:本文介绍了一种用于计算三维凸包的算法。首先,我们介绍一种使用图形硬件计算二维凸包的简单算法。该算法通过分析使用给定点绘制的位图图像来计算凸包的边缘和小平面。图形硬件可以非常快速地生成三维对象的位图图像。然后,我们将算法扩展为计算三维凸包。最后,我们将该算法应用于计算Delaunay图。该算法非常简单。霍夫等。报告了一种使用图形硬件绘制Voronoi图的算法[3]。我们的算法基于[3]使用的相同技术。但是,我们的算法采用了图像的分析阶段,并从图像中获取拓扑信息。我们的算法生成的图不是严格的Delaunay图,因为使用图形硬件获得的图像是位图图像,并且不是连续的。因此,它们可能包含一些错误,但是由于算法的简单性,与普通算法相比,它们是稳定的,不需要特殊的技术,例如符号扰动。该算法可以轻松实现。

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