Recognition of one class of surfaces from structured point cloud
This paper presents a method for recognition of surfaces represented by elliptical segments in structured three dimensional (3D) point clouds. The method is based on direct least squares fitting of ellipses in scanned lines. By recognizing elliptical segments in both directions of structured cloud i...
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University of Belgrade - Faculty of Mechanical Engineering, Belgrade
2017-01-01
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doaj-0ecdf61acce245e1b1c929c3586d679a2020-11-25T03:53:48ZengUniversity of Belgrade - Faculty of Mechanical Engineering, BelgradeFME Transactions1451-20922406-128X2017-01-014544814901451-20921704481MRecognition of one class of surfaces from structured point cloudMarković Veljko0https://orcid.org/0000-0003-2873-2150Jakovljević Živana1https://orcid.org/0000-0002-7878-2909Faculty of Mechanical Engineering, BelgradeFaculty of Mechanical Engineering, BelgradeThis paper presents a method for recognition of surfaces represented by elliptical segments in structured three dimensional (3D) point clouds. The method is based on direct least squares fitting of ellipses in scanned lines. By recognizing elliptical segments in both directions of structured cloud it is possible to efficiently allocate G1 (and higher) continuous regions which represent a certain class of surfaces. The proposed method is primarily developed for recognition of elliptical cylinders and ellipsoids, including cylinders and spheres. Depending on scanning mode, the method can be employed for recognition of other second degree surfaces like cones. Besides, as presented in the paper, the method can be utilized for recognition of certain class of higher degree surfaces such as elliptical tori. The proposed method is experimentally verified using several synthesized point clouds as well as using a real world case study.https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2017/1451-20921704481M.pdfreverse engineeringstructured point clouddirect least squarefitting of ellipsesscanned line fittingrecognition of surfaces |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marković Veljko Jakovljević Živana |
spellingShingle |
Marković Veljko Jakovljević Živana Recognition of one class of surfaces from structured point cloud FME Transactions reverse engineering structured point cloud direct least squarefitting of ellipses scanned line fitting recognition of surfaces |
author_facet |
Marković Veljko Jakovljević Živana |
author_sort |
Marković Veljko |
title |
Recognition of one class of surfaces from structured point cloud |
title_short |
Recognition of one class of surfaces from structured point cloud |
title_full |
Recognition of one class of surfaces from structured point cloud |
title_fullStr |
Recognition of one class of surfaces from structured point cloud |
title_full_unstemmed |
Recognition of one class of surfaces from structured point cloud |
title_sort |
recognition of one class of surfaces from structured point cloud |
publisher |
University of Belgrade - Faculty of Mechanical Engineering, Belgrade |
series |
FME Transactions |
issn |
1451-2092 2406-128X |
publishDate |
2017-01-01 |
description |
This paper presents a method for recognition of surfaces represented by elliptical segments in structured three dimensional (3D) point clouds. The method is based on direct least squares fitting of ellipses in scanned lines. By recognizing elliptical segments in both directions of structured cloud it is possible to efficiently allocate G1 (and higher) continuous regions which represent a certain class of surfaces. The proposed method is primarily developed for recognition of elliptical cylinders and ellipsoids, including cylinders and spheres. Depending on scanning mode, the method can be employed for recognition of other second degree surfaces like cones. Besides, as presented in the paper, the method can be utilized for recognition of certain class of higher degree surfaces such as elliptical tori. The proposed method is experimentally verified using several synthesized point clouds as well as using a real world case study. |
topic |
reverse engineering structured point cloud direct least squarefitting of ellipses scanned line fitting recognition of surfaces |
url |
https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2017/1451-20921704481M.pdf |
work_keys_str_mv |
AT markovicveljko recognitionofoneclassofsurfacesfromstructuredpointcloud AT jakovljeviczivana recognitionofoneclassofsurfacesfromstructuredpointcloud |
_version_ |
1724476512718028800 |