Study on processing of 3D scanning point data in use of vision sensor

PANG Xiao-hong; ZHU Ji-gui

doi:10.13873/j.1000-97872009.11.019

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Study on processing of 3D scanning point data in use of vision sensor

更新时间：2025-09-11

- Study on processing of 3D scanning point data in use of vision sensor
- Vol. 28, Issue 11, Pages: 55-57+60(2009)
- 作者机构：
  
  天津大学精密测试技术及仪器国家重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872009.11.019
  CLC： TP391.72
- Published：2009
- 稿件说明：
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[1]庞晓红,邾继贵.视觉传感器应用中三维扫描点云数据处理的研究[J].传感器与微系统,2009,28(11):55-57+60.

PANG Xiao-hong, ZHU Ji-gui. Study on processing of 3D scanning point data in use of vision sensor[J]. 2009, 28(11): 55-57+60.
[1]庞晓红,邾继贵.视觉传感器应用中三维扫描点云数据处理的研究[J].传感器与微系统,2009,28(11):55-57+60. DOI： 10.13873/j.1000-97872009.11.019.

PANG Xiao-hong, ZHU Ji-gui. Study on processing of 3D scanning point data in use of vision sensor[J]. 2009, 28(11): 55-57+60. DOI： 10.13873/j.1000-97872009.11.019.

摘要

分析了便携式激光视觉扫描系统获取的点云数据存在的问题

针对具体问题分析了数据处理中的关键步骤和算法

使用手动剔除和系统判断相结合的方法

有效地剔除扫描数据中的噪声数据。同时

采用数据缩减算法实现对扫描点云的采样

在保证扫描曲面特征不失真的情况下

尽可能地缩减不必要的数据。数据经过处理后

不仅可以提高模型重构的精准度

更可以降低模型重构的复杂程度。

Abstract

The characteristics of the point cloud data obtained by the portable laser vision scanning system is analyzed.Based on the distinct characteristics of the points

the critical steps and algorithms of the data processing are studied.Through the combination of the manual elimination method and system automatic identification method

the noise points of the point cloud data are removed effectively.At the same time

the data reduction algorithm is used to accomplish the sampling process of the scanning point cloud data.Under the promise of not to lose the surface characteristics

the unnecessary data are taken away as much as possible.Through the pre-processing

not only the accuracy of model reconstruction can be improved

but also the complexity of the model reconstruction can be reduced.

关键词

Keywords

references

逆向工程中点云数据压缩算法的研究与改进 [J]. 师振中,王秀英,刘锡国. 江苏大学学报(自然科学版) . 2006(S1)

非接触式激光测量点云数据预处理 [J]. 王亚平,郭敏. 现代机械 . 2005(03)

逆向工程中的测量数据精简技术研究 [J]. 洪军,丁玉成,曹亮,武殿梁. 西安交通大学学报 . 2004(07)

曲面重构中测量点云精简方法的研究 [J]. 周绿,林亨,钟约先,袁朝龙. 中国制造业信息化 . 2004(05)

海量点云预处理算法研究 [D]. 戴静兰. 浙江大学 2006

Cloud data modelling employing a unified, non-redundant triangular mesh [J] . W. Sun,C. Bradley,Y.F. Zhang,H.T. Loh. Computer-Aided Design . 2001 (2)

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