Simplification Method and Application of 3D Laser Scan Point Cloud Data
Wang GeFang, Lv YanMei, Han Ning, Zhang Dong
Available Online December 2012.
- https://doi.org/10.2991/mems.2012.166How to use a DOI?
- laser scan; point cloud data; data simplication; angle deviation error; chord deviation data
- 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.
- 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 -