基于空间一致性的同平台点云配准方法

基于特征的点云配准技术利用点云局部特征建立对应点, 但受噪声和重复结构影响，对应点结果不可避免地包含了大量错误匹配，导致配准精度降低。为充分利用离散点间几何信息优化同平台点云配准精度，本文提出了基于空间一致性的同平台点云配准方法，该方法通过增加候选匹配点构建同平台点云图模型，为获取图模型的最优匹配结果，提出了重加权随机游走匹配(reweight random walks matching，RRWM)的优化方法。基于假设验证方法构建了点云配准模型，并结合试验验证了本文方法的有效性。...

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Veröffentlicht in:	Ce hui xue bao 2023-05, Vol.52 (5), p.789-797
Hauptverfasser:	张广运, 韩一, 张荣庭, 李明峰, 吉文来
Format:	Artikel
Sprache:	chi ; eng
Schlagworte:	Algorithms Consistency Matching Model accuracy Optimization Random walk Repetitive structures Three dimensional models
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container_title	Ce hui xue bao
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creator	张广运韩一张荣庭李明峰吉文来
description	基于特征的点云配准技术利用点云局部特征建立对应点, 但受噪声和重复结构影响，对应点结果不可避免地包含了大量错误匹配，导致配准精度降低。为充分利用离散点间几何信息优化同平台点云配准精度，本文提出了基于空间一致性的同平台点云配准方法，该方法通过增加候选匹配点构建同平台点云图模型，为获取图模型的最优匹配结果，提出了重加权随机游走匹配(reweight random walks matching，RRWM)的优化方法。基于假设验证方法构建了点云配准模型，并结合试验验证了本文方法的有效性。
doi_str_mv	10.11947/j.AGCS.2023.20220262
format	Article
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subjects	Algorithms Consistency Matching Model accuracy Optimization Random walk Repetitive structures Three dimensional models
title	基于空间一致性的同平台点云配准方法
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