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Automated Sphere Segmentation from Point Clouds

Honti, Richard and Erdélyi, Ján and Kopáčik, Alojz (2020) Automated Sphere Segmentation from Point Clouds. POLLACK PERIODICA : AN INTERNATIONAL JOURNAL FOR ENGINEERING AND INFORMATION SCIENCES, 15 (3). pp. 15-25. ISSN 1788-1994 (print); 1788-3911 (online)

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Abstract

Nowadays huge datasets can be collected in a relatively short time. After capturing these data sets the next step is their processing. Automation of the processing steps can contribute to efficiency increase, to reduction of the time needed for processing, and to reduction of interactions of the user. The paper brings a short review of the most reliable methods for sphere segmentation. An innovative algorithm for automated detection of spheres and for estimating their parameters from 3D point clouds is introduced. The algorithm proposed was tested on complex point clouds. In the last part of the paper, the implementation of the algorithm proposed to a standalone application is described.

Item Type: Article
Additional Information: MTA KFB támogatási szerződés alapján archiválva
Subjects: T Technology / alkalmazott, műszaki tudományok > TA Engineering (General). Civil engineering (General) / általános mérnöki tudományok
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 31 Jan 2022 10:46
Last Modified: 07 Nov 2022 00:15
URI: http://real.mtak.hu/id/eprint/136717

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