Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering

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

Authors
H. Liu, H.Q. Zhang, H.B. Ju
Corresponding Author
H. Liu
Available Online July 2015.
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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Volume Title
Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
Series
Advances in Engineering Research
Publication Date
July 2015
ISBN
978-94-62520-71-4
ISSN
2352-5401
DOI
10.2991/eame-15.2015.157How to use a DOI?
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/).

Cite this article

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  -