No Cover Image

Conference Paper/Proceeding/Abstract 1107 views 340 downloads

An Automatic Laser Scanning System for Accurate 3D Reconstruction of Indoor Scenes

Danrong Li, Honglong Zhang, Zhan Song, Duhu Man, Mark Jones Orcid Logo

2017 IEEE International Conference on Information and Automation (ICIA)

Swansea University Author: Mark Jones Orcid Logo

DOI (Published version): 10.1109/ICInfA.2017.8079017

Published in: 2017 IEEE International Conference on Information and Automation (ICIA)
Published: 2017 IEEE International Conference on Information and Automation (ICIA) 2017
URI: https://cronfa.swan.ac.uk/Record/cronfa34894
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2017-08-10T19:03:03Z
last_indexed 2018-02-09T05:25:29Z
id cronfa34894
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2017-11-10T14:47:14.6046876</datestamp><bib-version>v2</bib-version><id>34894</id><entry>2017-08-10</entry><title>An Automatic Laser Scanning System for Accurate 3D Reconstruction of Indoor Scenes</title><swanseaauthors><author><sid>2e1030b6e14fc9debd5d5ae7cc335562</sid><ORCID>0000-0001-8991-1190</ORCID><firstname>Mark</firstname><surname>Jones</surname><name>Mark Jones</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2017-08-10</date><deptcode>SCS</deptcode><abstract/><type>Conference Paper/Proceeding/Abstract</type><journal>2017 IEEE International Conference on Information and Automation (ICIA)</journal><publisher>2017 IEEE International Conference on Information and Automation (ICIA)</publisher><keywords>Structured light system, 3D reconstruction, calibration, point cloud registration.</keywords><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2017</publishedYear><publishedDate>2017-12-31</publishedDate><doi>10.1109/ICInfA.2017.8079017</doi><url/><notes/><college>COLLEGE NANME</college><department>Computer Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SCS</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2017-11-10T14:47:14.6046876</lastEdited><Created>2017-08-10T14:26:06.3715231</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Danrong</firstname><surname>Li</surname><order>1</order></author><author><firstname>Honglong</firstname><surname>Zhang</surname><order>2</order></author><author><firstname>Zhan</firstname><surname>Song</surname><order>3</order></author><author><firstname>Duhu</firstname><surname>Man</surname><order>4</order></author><author><firstname>Mark</firstname><surname>Jones</surname><orcid>0000-0001-8991-1190</orcid><order>5</order></author></authors><documents><document><filename>0034894-10082017142704.pdf</filename><originalFilename>2017_scene_reconstruction.pdf</originalFilename><uploaded>2017-08-10T14:27:04.0930000</uploaded><type>Output</type><contentLength>995395</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2017-08-10T00:00:00.0000000</embargoDate><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2017-11-10T14:47:14.6046876 v2 34894 2017-08-10 An Automatic Laser Scanning System for Accurate 3D Reconstruction of Indoor Scenes 2e1030b6e14fc9debd5d5ae7cc335562 0000-0001-8991-1190 Mark Jones Mark Jones true false 2017-08-10 SCS Conference Paper/Proceeding/Abstract 2017 IEEE International Conference on Information and Automation (ICIA) 2017 IEEE International Conference on Information and Automation (ICIA) Structured light system, 3D reconstruction, calibration, point cloud registration. 31 12 2017 2017-12-31 10.1109/ICInfA.2017.8079017 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2017-11-10T14:47:14.6046876 2017-08-10T14:26:06.3715231 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Danrong Li 1 Honglong Zhang 2 Zhan Song 3 Duhu Man 4 Mark Jones 0000-0001-8991-1190 5 0034894-10082017142704.pdf 2017_scene_reconstruction.pdf 2017-08-10T14:27:04.0930000 Output 995395 application/pdf Accepted Manuscript true 2017-08-10T00:00:00.0000000 true eng
title An Automatic Laser Scanning System for Accurate 3D Reconstruction of Indoor Scenes
spellingShingle An Automatic Laser Scanning System for Accurate 3D Reconstruction of Indoor Scenes
Mark Jones
title_short An Automatic Laser Scanning System for Accurate 3D Reconstruction of Indoor Scenes
title_full An Automatic Laser Scanning System for Accurate 3D Reconstruction of Indoor Scenes
title_fullStr An Automatic Laser Scanning System for Accurate 3D Reconstruction of Indoor Scenes
title_full_unstemmed An Automatic Laser Scanning System for Accurate 3D Reconstruction of Indoor Scenes
title_sort An Automatic Laser Scanning System for Accurate 3D Reconstruction of Indoor Scenes
author_id_str_mv 2e1030b6e14fc9debd5d5ae7cc335562
author_id_fullname_str_mv 2e1030b6e14fc9debd5d5ae7cc335562_***_Mark Jones
author Mark Jones
author2 Danrong Li
Honglong Zhang
Zhan Song
Duhu Man
Mark Jones
format Conference Paper/Proceeding/Abstract
container_title 2017 IEEE International Conference on Information and Automation (ICIA)
publishDate 2017
institution Swansea University
doi_str_mv 10.1109/ICInfA.2017.8079017
publisher 2017 IEEE International Conference on Information and Automation (ICIA)
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 Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
published_date 2017-12-31T03:43:19Z
_version_ 1763752017140908032
score 11.035634