Multi-Range Images Integration Algorithm Based on Normal Constraint

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Multi-Range Images Integration Algorithm Based on Normal Constraint

更新时间：2025-07-09

- Multi-Range Images Integration Algorithm Based on Normal Constraint
- Vol. 43, Issue 5, Pages: 71-75(2009)
- 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：
- DOI：
  CLC： TP391
- Online First：10 May 2009，
  
  Published：2009
- 稿件说明：
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Multi-Range Images Integration Algorithm Based on Normal Constraint[J]. 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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