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基于曲率特征的文物点云分类降采样与配准方法

朱婧怡,杨鹏程,孟杰,张津京,崔嘉宝,代阳

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朱婧怡, 杨鹏程, 孟杰, 张津京, 崔嘉宝, 代阳. 基于曲率特征的文物点云分类降采样与配准方法[J]. . doi: 10.37188/CO.2023-0115
引用本文: 朱婧怡, 杨鹏程, 孟杰, 张津京, 崔嘉宝, 代阳. 基于曲率特征的文物点云分类降采样与配准方法[J]. .doi:10.37188/CO.2023-0115
ZHU Jing-yi, YANG Peng-cheng, MENG Jie, ZHANG Jin-jing, CUI Jia-bao, DAI Yang. A point cloud classification downsampling and registration method for artifacts based on curvature features[J]. Chinese Optics. doi: 10.37188/CO.2023-0115
Citation: ZHU Jing-yi, YANG Peng-cheng, MENG Jie, ZHANG Jin-jing, CUI Jia-bao, DAI Yang. A point cloud classification downsampling and registration method for artifacts based on curvature features[J].Chinese Optics.doi:10.37188/CO.2023-0115

基于曲率特征的文物点云分类降采样与配准方法

doi:10.37188/CO.2023-0115
基金项目:陕西省自然科学基础研究计划——面上项目(No. 2022JM-219);陕西省教育厅专项科研计划 (No. 22JK0404).
详细信息
    作者简介:

    朱婧怡(1999—),女,硕士研究生,主要研究方向:全息幻影成像,三维数据精确建模。E-mail:xpujingyi0729@163.com

    杨鹏程(1985—),男,副教授,博士,主要从事 干涉测量、三维数据精确建模、数字图像处理的研究。E-mail:yangpengcheng@xpu.edu.cn

  • 中图分类号:TP394.1;TH691.9

A point cloud classification downsampling and registration method for artifacts based on curvature features

Funds:Supported by Basic Research Program of Shaanxi Province - Surface Project (No. 2022JM-219); Special Research Program of Shaanxi Education Department (No. 22JK0404).
More Information
  • 摘要:

    三维重构是文物数字化的关键技术,其中三维点云配准精度是评估重构质量优劣的重要指标之一。实际采样中,文物点云细节信息繁多,传统降采样后易出现细节缺失从而影响配准精度。为了解决这一问题,本文提出了一种基于曲率特征的文物点云分类降采样与配准方法。首先,通过线性矩阵 测量获取文物的三维点云数据。其次,计算所有点的曲率值,并设置曲率阈值进行点云分类,不同点集按照其特征属性进行不同权重的降采样,从而最大限度地保留点云的形态特征和细节信息。最后通过求解刚性变换模型实现点云的配准。点云配准前的降采样处理后点云数据降至原始点云的1/3,与传统的整体降采样ICP方法对比,平均距离从0.89 mm约降至0.59 mm,标准偏差从0.29 mm约降至0.18 mm。在降低点云数据的同时也保证了配准的精度,适用于不同类型的文物点云数据。

  • 图 1点云分类与降采样方法流程图

    Figure 1.Flowchart of point cloud classification and downsampling methods

    图 2文物雕像实物

    Figure 2.Artifacts and physical statues

    图 3扫描系统实物图

    Figure 3.Physical diagram of scanning system

    图 4原始点云图

    Figure 4.Original point cloud diagram

    图 5特征点提取示意图

    Figure 5.Schematic diagram of feature point extraction

    图 6XXXXXX

    Figure 6.XXXXX

    表 1本文分类降采样数据

    Table 1.The classification downsampling data of this paper

    原始点云数量 配准后点云数量 平均距离/mm 标准偏差/mm
    1950581 422423 152816 575239
    下载: 导出CSV

    表 2仿真铜像点云配准实验过程数据分析

    Table 2.Experiment process data analysis of point cloud registration for simulated copper statue

    方法 原始点云数量 配准后点云数量 平均距离/mm 标准偏差/mm
    传统整体
    降采样后
    3471705 985621 0.891086 0.296167
    本文分类
    降采样后
    3471705 981584 0.591977 0.180786
    下载: 导出CSV
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  • 网络出版日期:2023-11-07

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