Conference Paper/Proceeding/Abstract 558 views
A 3D Vision Tracking Method for Mechanism Validation
Daniele Cafolla 
,
Matteo Russo,
Betsy D. M. Chaparro-Rico
,
Matteo Russo,
Betsy D. M. Chaparro-Rico
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: |
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| Keywords: |
Motion tracking; Object detection; Depth cloud; Mechanism validation |
|---|---|
| College: |
Faculty of Science and Engineering |
| Start Page: |
2067 |
| End Page: |
2076 |