International journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN:2313-626X

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 Volume 4, Issue 11 (November 2017), Pages: 121-126

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 Original Research Paper

 Title: A point cloud decomposition by the 3D level scanning for planes detection

 Author(s): Pavel Chmelar *, Lubos Rejfek, Ladislav Beran, Martin Dobrovolny

 Affiliation(s):

 Department of Electrical Engineering, Faculty of Electrical Engineering and Informatics, University of Pardubice, Pardubice, Czech Republic

 https://doi.org/10.21833/ijaas.2017.011.019

 Full Text - PDF          XML

Abstract:

A point cloud represents a set of measurement points. Usually it is a group of points in a defined coordinate space without any information how individual points relates to each other. For a simple shapes and objects description additional methods are needed. In this paper we would like to present a new 3D point cloud scanning method for planes detection. Our developed algorithm includes several image processing methods like the connected component labeling and the shape borders detection which allows computing important plane properties end even detect object shapes. The scanning algorithm is described on a testing example and verified on real measured data. The paper concludes by algorithm properties summarization and recommendations where this method can be used. 

 © 2017 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Point cloud, Plane detection, Level scanning, Component labeling

 Article History: Received 12 February 2017, Received in revised form 18 September 2017, Accepted 19 September 2017

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2017.011.019

 Citation:

 Chmelar P, Rejfek L, Beran L, and Dobrovolny M (2017). A point cloud decomposition by the 3D level scanning for planes detection. International Journal of Advanced and Applied Sciences, 4(11): 121-126

 Permanent Link:

 http://www.science-gate.com/IJAAS/V4I11/Chmelar.html

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