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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Main Authors: Marković Veljko, Jakovljević Živana
Format: Article
Language:English
Published: University of Belgrade - Faculty of Mechanical Engineering, Belgrade 2017-01-01
Series:FME Transactions
Subjects:
Online Access:https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2017/1451-20921704481M.pdf
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spelling 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
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