Topological Features Detection and Automatic Segmentation of Point Clouds from Tree Surface

DOI

10.2991/eame-15.2015.157How to use a DOI?

Keywords

point cloud data; panoramic range image; automatic segmentation

Abstract

In this paper, the tree topological features detection and automatic segmentation of point cloud data are studied, and propose a method of topological features detection and automatic segmentation of point cloud data, based on panoramic range image. First of all, the point cloud data is converted into the cylindrical polar coordinates and create the panoramic range image of trees. Then, according to the level of the different structural characteristics can be automatic segmentation trees. These feature points trees point cloud can be divided into two parts of the tree trunks and branches structure. The experimental results show that the method can improve the efficiency and accuracy of the topological features detection and automatic segmentation of the point clouds.

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  - H. Liu
AU  - H.Q. Zhang
AU  - H.B. Ju
PY  - 2015/07
DA  - 2015/07
TI  - Topological Features Detection and Automatic Segmentation of Point Clouds from Tree Surface
BT  - Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
PB  - Atlantis Press
SP  - 560
EP  - 563
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-15.2015.157
DO  - 10.2991/eame-15.2015.157
ID  - Liu2015/07
ER  -