Proceedings of the 1st International Conference on Mechanical Engineering and Material Science (MEMS 2012)

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

Authors
Wang GeFang, Lv YanMei, Han Ning, Zhang Dong
Corresponding Author
Wang GeFang
Available Online December 2012.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 1st International Conference on Mechanical Engineering and Material Science (MEMS 2012)
Series
Advances in Intelligent Systems Research
Publication Date
December 2012
ISBN
978-90-78677-59-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/mems.2012.166How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - https://doi.org/10.2991/mems.2012.166
ID  - GeFang2012/12
ER  -