基于ICP算法的改进算法综述

Xueyao Jiang, Mingzhe Liu, Yao Huang, Rui Luo
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引用次数: 0

摘要

在三维点云配准技术领域,最常用、最经典的配准方法是迭代最近点(ICP)算法。随着点云配准技术的不断发展,在ICP配准算法的基础上出现了许多优化和变体算法。改进后的ICP配准精度和计算速度得到了提高。本文介绍了基于ICP算法的改进算法,分别讨论了它们的实现过程,分析了它们的性能,得出了本文的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review on improved algorithms based on ICP algorithm
In the field of 3D point cloud registration technology, the most commonly used and the most classic registration method is Iterative Closest Point(ICP) algorithm. With the continuous development of point cloud registration technology, there have been many optimization and variant algorithms on ICP algorithm. The registration accuracy and calculation speed of the improved ICP algorithm are improved. This paper introduces the improved algorithms based on ICP algorithm, discusses their realization process respectively, analyzes their performance, and draws the conclusion of this paper.
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