法向约束的多幅点云数据融合算法

梁新合 1; 2; 梁晋 1; 郭成 1; 曹巨明 1

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法向约束的多幅点云数据融合算法

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- 法向约束的多幅点云数据融合算法
- Multi-Range Images Integration Algorithm Based on Normal Constraint
- 西安交通大学学报 2009年43卷第5期页码：71-75
- 作者机构：
  
  1. 西安交通大学机械工程学院,西安,710049
  2. 河南科技大学材料科学与工程学院,河南,洛阳,471004
- 作者简介：
- 基金信息：
  
  : 2008-08-02. 作者简介: 梁新合(1966-),男,教授,博士生;郭成(联系人),男,教授,博士生导师. 基金项目: 国家高技术研究发展计划资助项目(2007AA04Z124);江苏省科技支撑计划资助项目(BE2008058)
- DOI：
  中图分类号： TP391
- 网络首发：2009-05-10，
  
  纸质出版：2009
- 稿件说明：
移动端阅览
梁新合 1, 2, 梁晋 1, 等. 法向约束的多幅点云数据融合算法[J]. 西安交通大学学报, 2009,43(5):71-75.

Multi-Range Images Integration Algorithm Based on Normal Constraint[J]. 2009, 43(5): 71-75.
梁新合 1, 2, 梁晋 1, 等. 法向约束的多幅点云数据融合算法[J]. 西安交通大学学报, 2009,43(5):71-75. DOI：

Multi-Range Images Integration Algorithm Based on Normal Constraint[J]. 2009, 43(5): 71-75. DOI：

摘要

针对光学测量中多幅点云的数据融合

提出了一种基于法向约束的多幅点云融合算法.该算法首先对多幅点云法向滤波

通过2幅点云的双向查找来寻找种子点

在点的法向方向寻找2幅点云中对应的k邻域

计算邻域点的加权和

而融合点是种子点沿其法向移动的结果.与平均聚类法相比

该方法获得的模型表面更加光顺

特征更明显

点的分布也更均匀

对于包含粗大匹配误差的多幅点云模型的融合具有较好的效果.

Abstract

Aiming at the problem of multi-view range images integration in the process of optical based 3D measurement and 3D modeling

a novel multi-view range images integration algorithm is proposed based on the normal constraint principle.The normal direction filtering is applied for each range images.The seed points are searched between two related range images. The corresponding k-nearest neighborhoods in both images are searched too. The weighted sum of each k-nearest point to seed points is calculated. The output points are the seeds which have been moved along the normal direction. Compared with the k-mean clustering multi-view range images integration algorithm

a uniform points distributions surface can be obtained which has a smoother and detailer feature

especially for the case with coarse registration error.

关键词

Keywords

references

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