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An innovative photogrammetry color segmentation based technique as an alternative approach to 3D scanning for reverse engineering design

David W. James, Fawzi Belblidia Orcid Logo, Jurgen E. Eckermann, Johann Sienz Orcid Logo

Computer-Aided Design and Applications, Volume: 14, Issue: 1, Pages: 1 - 16

Swansea University Authors: Fawzi Belblidia Orcid Logo, Johann Sienz Orcid Logo

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DOI (Published version): 10.1080/16864360.2016.1199751

Abstract

The photogrammetry procedure is introduced as a cheap and -effective alternative to 3D scanning for constructing 3D point cloud data for reverse engineering applications. The data is then manipulated to generate CAD-ready models for FEA simulations or 3D printing purposes. A practical demonstration...

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Published in: Computer-Aided Design and Applications
ISSN: 1686-4360
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa30877
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first_indexed 2016-10-31T14:14:21Z
last_indexed 2018-02-09T05:17:12Z
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spelling 2016-10-31T11:55:46.4631329 v2 30877 2016-10-31 An innovative photogrammetry color segmentation based technique as an alternative approach to 3D scanning for reverse engineering design 7e0feb96ca2d685180b495e8983f3940 0000-0002-8170-0468 Fawzi Belblidia Fawzi Belblidia true false 17bf1dd287bff2cb01b53d98ceb28a31 0000-0003-3136-5718 Johann Sienz Johann Sienz true false 2016-10-31 AERO The photogrammetry procedure is introduced as a cheap and -effective alternative to 3D scanning for constructing 3D point cloud data for reverse engineering applications. The data is then manipulated to generate CAD-ready models for FEA simulations or 3D printing purposes. A practical demonstration using model cars is conducted to show the effectiveness of the procedure in generating point cloud data, and various improvements are introduced. In particular, and innovative to this research work, a feature segmentation algorithm based on color information captured from photographs is implemented. This program, embedded within the photogrammetry process, allows for automatic selection of parts and features from an assembly model, providing a leading advantage over current 3D scanners, which capture spatial data only. Moreover, an intuitive method of enhancing the selection of required features of a triangular mesh during the segmentation process is introduced. This is achieved by manually marking the boundaries on the part of the object to be selected prior to taking photos. This has been proved to be more effective where areas of the object parts have similar colors. Journal Article Computer-Aided Design and Applications 14 1 1 16 1686-4360 31 1 2017 2017-01-31 10.1080/16864360.2016.1199751 COLLEGE NANME Aerospace Engineering COLLEGE CODE AERO Swansea University 2016-10-31T11:55:46.4631329 2016-10-31T10:45:40.7982778 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised David W. James 1 Fawzi Belblidia 0000-0002-8170-0468 2 Jurgen E. Eckermann 3 Johann Sienz 0000-0003-3136-5718 4
title An innovative photogrammetry color segmentation based technique as an alternative approach to 3D scanning for reverse engineering design
spellingShingle An innovative photogrammetry color segmentation based technique as an alternative approach to 3D scanning for reverse engineering design
Fawzi Belblidia
Johann Sienz
title_short An innovative photogrammetry color segmentation based technique as an alternative approach to 3D scanning for reverse engineering design
title_full An innovative photogrammetry color segmentation based technique as an alternative approach to 3D scanning for reverse engineering design
title_fullStr An innovative photogrammetry color segmentation based technique as an alternative approach to 3D scanning for reverse engineering design
title_full_unstemmed An innovative photogrammetry color segmentation based technique as an alternative approach to 3D scanning for reverse engineering design
title_sort An innovative photogrammetry color segmentation based technique as an alternative approach to 3D scanning for reverse engineering design
author_id_str_mv 7e0feb96ca2d685180b495e8983f3940
17bf1dd287bff2cb01b53d98ceb28a31
author_id_fullname_str_mv 7e0feb96ca2d685180b495e8983f3940_***_Fawzi Belblidia
17bf1dd287bff2cb01b53d98ceb28a31_***_Johann Sienz
author Fawzi Belblidia
Johann Sienz
author2 David W. James
Fawzi Belblidia
Jurgen E. Eckermann
Johann Sienz
format Journal article
container_title Computer-Aided Design and Applications
container_volume 14
container_issue 1
container_start_page 1
publishDate 2017
institution Swansea University
issn 1686-4360
doi_str_mv 10.1080/16864360.2016.1199751
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 0
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description The photogrammetry procedure is introduced as a cheap and -effective alternative to 3D scanning for constructing 3D point cloud data for reverse engineering applications. The data is then manipulated to generate CAD-ready models for FEA simulations or 3D printing purposes. A practical demonstration using model cars is conducted to show the effectiveness of the procedure in generating point cloud data, and various improvements are introduced. In particular, and innovative to this research work, a feature segmentation algorithm based on color information captured from photographs is implemented. This program, embedded within the photogrammetry process, allows for automatic selection of parts and features from an assembly model, providing a leading advantage over current 3D scanners, which capture spatial data only. Moreover, an intuitive method of enhancing the selection of required features of a triangular mesh during the segmentation process is introduced. This is achieved by manually marking the boundaries on the part of the object to be selected prior to taking photos. This has been proved to be more effective where areas of the object parts have similar colors.
published_date 2017-01-31T03:37:39Z
_version_ 1763751660464635904
score 11.01409

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