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A Review of Point Set Registration: From Pairwise Registration to Groupwise Registration

机译:点集注册的回顾:从成对注册到成组注册

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摘要

This paper presents a comprehensive literature review on point set registration. The state-of-the-art modeling methods and algorithms for point set registration are discussed and summarized. Special attention is paid to methods for pairwise registration and groupwise registration. Some of the most prominent representative methods are selected to conduct qualitative and quantitative experiments. From the experiments we have conducted on 2D and 3D data, CPD-GL pairwise registration algorithm and JRMPC groupwise registration algorithm seem to outperform their rivals both in accuracy and computational complexity. Furthermore, future research directions and avenues in the area are identified.
机译:本文对点集注册进行了全面的文献综述。讨论并总结了用于点集注册的最新建模方法和算法。特别注意成对注册和成组注册的方法。选择了一些最杰出的代表性方法进行定性和定量实验。从我们在2D和3D数据上进行的实验来看,CPD-GL成对配准算法和JRMPC成组配准算法在准确性和计算复杂性方面均胜过竞争对手。此外,确定了该地区未来的研究方向和途径。

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