Honti, Richard and Erdélyi, Ján and Kopáčik, Alojz (2019) Automation of Cylinder Segmentation from Point Cloud Data. POLLACK PERIODICA, 14 (3). pp. 189-200. ISSN 1788-1994 (print); 1788-3911 (online)
|
Text
606.2019.14.3.18.pdf Download (12MB) | Preview |
Abstract
The results of terrestrial laser scanning are point clouds, which are becoming an increasingly common initial digital representation of real-world objects. Since point clouds in the most cases represent a huge amount of data, automation of the processing steps is advisable. The paper brings a short review of the most reliable methods of cylinder extraction. An innovative algorithm is proposed for an automated detection of cylinders and also for estimating their parameters from 3D point cloud data. The method was tested on the complex point clouds of pipelines. The proposed algorithm was implemented to a standalone application based on MATLAB® software.
| 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 |
| Depositing User: | Violetta Baliga |
| Date Deposited: | 25 Feb 2020 14:42 |
| Last Modified: | 31 Dec 2021 00:16 |
| URI: | http://real.mtak.hu/id/eprint/106578 |
Actions (login required)
 |
Edit Item |
