一种三维点云精细去噪与特征拾取方法

A fine desiccating and feature picking method for three-dimensional point cloud

为研究三维点云数据的完整去噪与特征拾取方法,提高点云数据应用效率与质量,通过Autodesk ReCap Pro和Undet的智能清理功能和特征点、线、面拾取功能,进行了单体模型构建前的精细去噪和特征拾取研究分析。实践结果表明,在参数设置合理的情况下,能实现点云数据的快速精细去噪和简便拾取特征,为点云数据浏览、精细模型的构建等应用提供了一种新的基础点云数据处理方法。

In order to study the complete denoising and feature picking method of 3 D point cloud data and improve the application efficiency and quality of point cloud data,the detailed denoising and feature picking research and analysis before the monomer model construction were carried out by using the intelligent cleaning function of Autodesk ReCap Pro and Undet and the feature point,line and surface picking function.The practice results show that when the parameters are set reasonably,the point cloud data can be de-noised quickly and finely and the features can be easily picked up,which provides a new basic point cloud data processing method for point cloud data browsing,fine model construction and other applications.