Pre-Processing and Surface Reconstruction of Points Cloud Based on Chord Angle Algorithm Technique

Abstract Although the rapid development in reverse engineering techniques, 3D laser scanners can be considered the modern technology used to digitize the 3D objects, but some troubles may be associate this process due to the environmental noises and limitation of the used scanners. So, in the pr...

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Autores principales:	Ali M. Albdairy, Ahmed A. A. Al-Duroobi, Maan A. Tawfiq
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2020
Materias:	Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/9a5e29a16b3d4ea18f97b7506bbbc605
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spelling	oai:doaj.org-article:9a5e29a16b3d4ea18f97b7506bbbc6052021-12-02T11:26:46ZPre-Processing and Surface Reconstruction of Points Cloud Based on Chord Angle Algorithm Technique10.22153/kej.2020.07.0021818-11712312-0789https://doaj.org/article/9a5e29a16b3d4ea18f97b7506bbbc6052020-09-01T00:00:00Zhttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/692https://doaj.org/toc/1818-1171https://doaj.org/toc/2312-0789 Abstract Although the rapid development in reverse engineering techniques, 3D laser scanners can be considered the modern technology used to digitize the 3D objects, but some troubles may be associate this process due to the environmental noises and limitation of the used scanners. So, in the present paper a data pre-processing algorithm has been proposed to obtain the necessary geometric features and mathematical representation of scanned object from its point cloud which obtained using 3D laser scanner (Matter and Form) through isolating the noised points. The proposed algorithm based on continuous calculations of chord angle between each adjacent pair of points in point cloud. A MATLAB program has been built to perform the proposed algorithm which implemented using a suggested case studies with cylinder and dome shape. The resulted point cloud from application the proposed algorithm and result of surface fitting for the case studies has been proved the proficiency of the proposed chord angle algorithm in pre-processing of data points and clean the point cloud, where the percent of data which was ignored as noisy data points according to proposed chord angle algorithm was arrived to (81.52%) and (75.01%)of total number of data points in point cloud for first and second case study respectively. Ali M. AlbdairyAhmed A. A. Al-DuroobiMaan A. TawfiqAl-Khwarizmi College of Engineering – University of BaghdadarticleChemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 16, Iss 3 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Ali M. Albdairy Ahmed A. A. Al-Duroobi Maan A. Tawfiq Pre-Processing and Surface Reconstruction of Points Cloud Based on Chord Angle Algorithm Technique
description	Abstract Although the rapid development in reverse engineering techniques, 3D laser scanners can be considered the modern technology used to digitize the 3D objects, but some troubles may be associate this process due to the environmental noises and limitation of the used scanners. So, in the present paper a data pre-processing algorithm has been proposed to obtain the necessary geometric features and mathematical representation of scanned object from its point cloud which obtained using 3D laser scanner (Matter and Form) through isolating the noised points. The proposed algorithm based on continuous calculations of chord angle between each adjacent pair of points in point cloud. A MATLAB program has been built to perform the proposed algorithm which implemented using a suggested case studies with cylinder and dome shape. The resulted point cloud from application the proposed algorithm and result of surface fitting for the case studies has been proved the proficiency of the proposed chord angle algorithm in pre-processing of data points and clean the point cloud, where the percent of data which was ignored as noisy data points according to proposed chord angle algorithm was arrived to (81.52%) and (75.01%)of total number of data points in point cloud for first and second case study respectively.
format	article
author	Ali M. Albdairy Ahmed A. A. Al-Duroobi Maan A. Tawfiq
author_facet	Ali M. Albdairy Ahmed A. A. Al-Duroobi Maan A. Tawfiq
author_sort	Ali M. Albdairy
title	Pre-Processing and Surface Reconstruction of Points Cloud Based on Chord Angle Algorithm Technique
title_short	Pre-Processing and Surface Reconstruction of Points Cloud Based on Chord Angle Algorithm Technique
title_full	Pre-Processing and Surface Reconstruction of Points Cloud Based on Chord Angle Algorithm Technique
title_fullStr	Pre-Processing and Surface Reconstruction of Points Cloud Based on Chord Angle Algorithm Technique
title_full_unstemmed	Pre-Processing and Surface Reconstruction of Points Cloud Based on Chord Angle Algorithm Technique
title_sort	pre-processing and surface reconstruction of points cloud based on chord angle algorithm technique
publisher	Al-Khwarizmi College of Engineering – University of Baghdad
publishDate	2020
url	https://doaj.org/article/9a5e29a16b3d4ea18f97b7506bbbc605
work_keys_str_mv	AT alimalbdairy preprocessingandsurfacereconstructionofpointscloudbasedonchordanglealgorithmtechnique AT ahmedaaalduroobi preprocessingandsurfacereconstructionofpointscloudbasedonchordanglealgorithmtechnique AT maanatawfiq preprocessingandsurfacereconstructionofpointscloudbasedonchordanglealgorithmtechnique
_version_	1718395952375529472

Pre-Processing and Surface Reconstruction of Points Cloud Based on Chord Angle Algorithm Technique

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