Simplification Method and Application of 3D Laser Scan Point Cloud Data

DOI

10.2991/mems.2012.166How to use a DOI?

Keywords

laser scan; point cloud data; data simplication; angle deviation error; chord deviation data

Abstract

The density of acquired data by 3D laser scanner is huge and is not convenient for curved face reconstruction, model reconstruction, data storage, data display and transmission. Firstly, the conventional point cloud data classification and simplification method is introduced. Secondly, the angle deviation error and chord deviation error simplification method is researched based on the analysis of characteristic of 3D laser scan point cloud data. Finally, the angle--chord comprehensive simplification method is prompted. The example shows that this method could simplify the scan line point cloud data got by 3D laser scanner directly and effectively. This method could retain the point cloud data which reflects the surface character of object with higher simplification efficiency.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wang GeFang
AU  - Lv YanMei
AU  - Han Ning
AU  - Zhang Dong
PY  - 2012/12
DA  - 2012/12
TI  - Simplification Method and Application of 3D Laser Scan Point Cloud Data
BT  - Proceedings of the 1st International Conference on Mechanical Engineering and Material Science (MEMS 2012)
PB  - Atlantis Press
SP  - 634
EP  - 636
SN  - 1951-6851
UR  - https://doi.org/10.2991/mems.2012.166
DO  - 10.2991/mems.2012.166
ID  - GeFang2012/12
ER  -