Conference Paper/Proceeding/Abstract 558 views
A 3D Vision Tracking Method for Mechanism Validation
Advances in Mechanism and Machine Science, Volume: 73, Pages: 2067 - 2076
Swansea University Author: Daniele Cafolla
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1007/978-3-030-20131-9_205
Abstract
A 3D Vision Tracking Method for Mechanism Validation
Published in: | Advances in Mechanism and Machine Science |
---|---|
ISBN: | 9783030201302 9783030201319 |
ISSN: | 2211-0984 2211-0992 |
Published: |
Cham
Springer International Publishing
2019
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa62504 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
first_indexed |
2023-03-03T13:42:46Z |
---|---|
last_indexed |
2023-03-04T04:14:30Z |
id |
cronfa62504 |
recordtype |
SURis |
fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2023-03-03T13:42:51.8963647</datestamp><bib-version>v2</bib-version><id>62504</id><entry>2023-02-03</entry><title>A 3D Vision Tracking Method for Mechanism Validation</title><swanseaauthors><author><sid>ac4feae4da44720e216ab2e0359e4ddb</sid><ORCID>0000-0002-5602-1519</ORCID><firstname>Daniele</firstname><surname>Cafolla</surname><name>Daniele Cafolla</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2023-02-03</date><deptcode>SCS</deptcode><abstract/><type>Conference Paper/Proceeding/Abstract</type><journal>Advances in Mechanism and Machine Science</journal><volume>73</volume><journalNumber/><paginationStart>2067</paginationStart><paginationEnd>2076</paginationEnd><publisher>Springer International Publishing</publisher><placeOfPublication>Cham</placeOfPublication><isbnPrint>9783030201302</isbnPrint><isbnElectronic>9783030201319</isbnElectronic><issnPrint>2211-0984</issnPrint><issnElectronic>2211-0992</issnElectronic><keywords>Motion tracking; Object detection; Depth cloud; Mechanism validation</keywords><publishedDay>14</publishedDay><publishedMonth>6</publishedMonth><publishedYear>2019</publishedYear><publishedDate>2019-06-14</publishedDate><doi>10.1007/978-3-030-20131-9_205</doi><url/><notes/><college>COLLEGE NANME</college><department>Computer Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SCS</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2023-03-03T13:42:51.8963647</lastEdited><Created>2023-02-03T14:20:03.2863407</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>Daniele</firstname><surname>Cafolla</surname><orcid>0000-0002-5602-1519</orcid><order>1</order></author><author><firstname>Matteo</firstname><surname>Russo</surname><order>2</order></author><author><firstname>Betsy D. M.</firstname><surname>Chaparro-Rico</surname><order>3</order></author></authors><documents/><OutputDurs/></rfc1807> |
spelling |
2023-03-03T13:42:51.8963647 v2 62504 2023-02-03 A 3D Vision Tracking Method for Mechanism Validation ac4feae4da44720e216ab2e0359e4ddb 0000-0002-5602-1519 Daniele Cafolla Daniele Cafolla true false 2023-02-03 SCS Conference Paper/Proceeding/Abstract Advances in Mechanism and Machine Science 73 2067 2076 Springer International Publishing Cham 9783030201302 9783030201319 2211-0984 2211-0992 Motion tracking; Object detection; Depth cloud; Mechanism validation 14 6 2019 2019-06-14 10.1007/978-3-030-20131-9_205 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2023-03-03T13:42:51.8963647 2023-02-03T14:20:03.2863407 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Daniele Cafolla 0000-0002-5602-1519 1 Matteo Russo 2 Betsy D. M. Chaparro-Rico 3 |
title |
A 3D Vision Tracking Method for Mechanism Validation |
spellingShingle |
A 3D Vision Tracking Method for Mechanism Validation Daniele Cafolla |
title_short |
A 3D Vision Tracking Method for Mechanism Validation |
title_full |
A 3D Vision Tracking Method for Mechanism Validation |
title_fullStr |
A 3D Vision Tracking Method for Mechanism Validation |
title_full_unstemmed |
A 3D Vision Tracking Method for Mechanism Validation |
title_sort |
A 3D Vision Tracking Method for Mechanism Validation |
author_id_str_mv |
ac4feae4da44720e216ab2e0359e4ddb |
author_id_fullname_str_mv |
ac4feae4da44720e216ab2e0359e4ddb_***_Daniele Cafolla |
author |
Daniele Cafolla |
author2 |
Daniele Cafolla Matteo Russo Betsy D. M. Chaparro-Rico |
format |
Conference Paper/Proceeding/Abstract |
container_title |
Advances in Mechanism and Machine Science |
container_volume |
73 |
container_start_page |
2067 |
publishDate |
2019 |
institution |
Swansea University |
isbn |
9783030201302 9783030201319 |
issn |
2211-0984 2211-0992 |
doi_str_mv |
10.1007/978-3-030-20131-9_205 |
publisher |
Springer International Publishing |
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 |
0 |
active_str |
0 |
published_date |
2019-06-14T04:22:10Z |
_version_ |
1763754461926260736 |
score |
11.035349 |