格网划分的最邻近点搜索方法A method of closest points searching based on grid partition
杨容浩,岑敏仪,张同刚,郑平元
摘要(Abstract)：
为了提高迭代最近点(ICP)算法中最邻近点搜索的存储和计算效率,本文通过对盒子结构方法优、缺点的深入分析,提出了基于格网划分的最邻近点搜索方法。该方法充分考虑了3D点云获取时的投影特性,将点云投影到某一坐标平面,并基于格网划分进行存储,使最邻近点的搜索限制在较小的范围。不同类型的模拟数据和实测数据试验均表明,该方法能够在不损失匹配精度和拉入范围的前提下,显著提高存储和计算效率。
关键词(KeyWords)： 3D点云;表面匹配;迭代最近点算法(ICP);最邻近点搜索;盒子结构;格网划分
基金项目(Foundation):
作者(Author): 杨容浩,岑敏仪,张同刚,郑平元
DOI: 10.16251/j.cnki.1009-2307.2012.05.008
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