The Compression Method of Point Cloud Data based on the Hypotenuse-height Deviation Method
Authors
Chenghui Wan, Xiping He
Corresponding Author
Chenghui Wan
Available Online May 2016.
- DOI
- 10.2991/wartia-16.2016.364How to use a DOI?
- Keywords
- point cloud compression, hierarchy, hypotenuse-height difference, linear feature, plan curvature
- Abstract
The article describes a hypotenuse-height deviation compression method of magnanimous point cloud data based on hierarchy. Firstly the point cloud is stratified into several hierarchies which turn into linear point clouds, then compressed by using hypotenuse-height deviation threshold. By experiment, the compression effect of the method brought up is compared with that of several traditional point cloud compression methods, which verify the capability of realizing high-efficiency compression with abundant detailed features retained.
- Copyright
- © 2016, 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/).
Cite this article
TY - CONF AU - Chenghui Wan AU - Xiping He PY - 2016/05 DA - 2016/05 TI - The Compression Method of Point Cloud Data based on the Hypotenuse-height Deviation Method BT - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications PB - Atlantis Press SP - 1835 EP - 1838 SN - 2352-5401 UR - https://doi.org/10.2991/wartia-16.2016.364 DO - 10.2991/wartia-16.2016.364 ID - Wan2016/05 ER -