Secondary Reduction Algorithm Based on Grid and Curvature Method

DOI

10.2991/icmmcce-15.2015.107How to use a DOI?

Keywords

Data reduction; Grid method; Curvature; Secondary Streamlining

Abstract

In reverse engineering, the point cloud data processing is the key, it will directly affect the quality and efficiency of the subsequent reconstruction of the surface. However, the amount of data obtained by three-dimensional laser scanning is often larger and redundant, which will increase the difficulty of the surface reconstruction, therefore, the point cloud data is needed to streamline. Depth analysis of the efficiency and accuracy of curvature grid method, a secondary streamlined algorithm is proposed, which take use of non-uniform grid streamline law based on octree to streamline to the point cloud, and re-use curvature streamline method based on B-spline surface fitting to streamline it. This method, whose streamline ratio is relatively high, can effectively retain the feature point cloud data, providing a great convenience for the follow-up of reverse engineering.

Copyright

© 2015, 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  - Shigang Wang
AU  - Yong Yan
AU  - Shufeng Jiang
PY  - 2015/12
DA  - 2015/12
TI  - Secondary Reduction Algorithm Based on Grid and Curvature Method
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SP  - 532
EP  - 536
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.107
DO  - 10.2991/icmmcce-15.2015.107
ID  - Wang2015/12
ER  -