Journal article 1056 views
An innovative photogrammetry color segmentation based technique as an alternative approach to 3D scanning for reverse engineering design
Computer-Aided Design and Applications, Volume: 14, Issue: 1, Pages: 1 - 16
Swansea University Authors: Fawzi Belblidia , Johann Sienz
Full text not available from this repository: check for access using links below.
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...
Published in: | Computer-Aided Design and Applications |
---|---|
ISSN: | 1686-4360 |
Published: |
2017
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa30877 |
first_indexed |
2016-10-31T14:14:21Z |
---|---|
last_indexed |
2018-02-09T05:17:12Z |
id |
cronfa30877 |
recordtype |
SURis |
fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2016-10-31T11:55:46.4631329</datestamp><bib-version>v2</bib-version><id>30877</id><entry>2016-10-31</entry><title>An innovative photogrammetry color segmentation based technique as an alternative approach to 3D scanning for reverse engineering design</title><swanseaauthors><author><sid>7e0feb96ca2d685180b495e8983f3940</sid><ORCID>0000-0002-8170-0468</ORCID><firstname>Fawzi</firstname><surname>Belblidia</surname><name>Fawzi Belblidia</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>17bf1dd287bff2cb01b53d98ceb28a31</sid><ORCID>0000-0003-3136-5718</ORCID><firstname>Johann</firstname><surname>Sienz</surname><name>Johann Sienz</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2016-10-31</date><deptcode>ACEM</deptcode><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 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.</abstract><type>Journal Article</type><journal>Computer-Aided Design and Applications</journal><volume>14</volume><journalNumber>1</journalNumber><paginationStart>1</paginationStart><paginationEnd>16</paginationEnd><publisher/><issnElectronic>1686-4360</issnElectronic><keywords/><publishedDay>31</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2017</publishedYear><publishedDate>2017-01-31</publishedDate><doi>10.1080/16864360.2016.1199751</doi><url/><notes/><college>COLLEGE NANME</college><department>Aerospace, Civil, Electrical, and Mechanical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>ACEM</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2016-10-31T11:55:46.4631329</lastEdited><Created>2016-10-31T10:45:40.7982778</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Uncategorised</level></path><authors><author><firstname>David W.</firstname><surname>James</surname><order>1</order></author><author><firstname>Fawzi</firstname><surname>Belblidia</surname><orcid>0000-0002-8170-0468</orcid><order>2</order></author><author><firstname>Jurgen E.</firstname><surname>Eckermann</surname><order>3</order></author><author><firstname>Johann</firstname><surname>Sienz</surname><orcid>0000-0003-3136-5718</orcid><order>4</order></author></authors><documents/><OutputDurs/></rfc1807> |
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 ACEM 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, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM 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 |
active_str |
0 |
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 |
2017-01-31T13:09:30Z |
_version_ |
1822135860066254848 |
score |
11.048626 |