智能近邻

The VTK Journal Pub Date : 2011-07-21 DOI:10.54294/7djpdw
D. Doria, Wanlin Zhu
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引用次数: 0

摘要

本文介绍了Voronoi邻域算法和二进制空间分割邻域算法的实现。这些算法在点集中找到一个点的邻居,这些邻居在某种程度上优于“aK近邻”或“半径内所有邻居”查询。这种类型的最近邻查询的计算成本更高,但会产生一组具有更理想属性的邻居。BSP邻居搜索保证了较少的局部重复,而Voronoi邻居搜索保证了邻居的空间排列尽可能一致。这些算法在“三维几何图形交互建模与处理的点原语”中有详细说明。代码可从这里获得:https://github.com/daviddoria/SmartNearestNeighbors
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Nearest Neighbors
This document presents an implementation of two algorithms, Voronoi Neighbors and Binary Space Partition (BSP) Neighbors. These algorithms find neighbors of a point in a point set that are somehow better'' than aK nearest neighbors’’ or a ``all neighbors within a radius’’ query. This type of nearest neighbor query is more computationally expensive, but results in set of neighbors with more desirable properties. The BSP Neighbors search ensures that there is less local duplication, while the Voronoi Neighbors search ensures that the spatial arrangement of the neighbors is as uniform as possible.These algorithms are explained in ``Point Primitives for Interactive Modeling and Processing of 3D Geometry’’.The code is available here: https://github.com/daviddoria/SmartNearestNeighbors
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