A camera-based system for highly accurate 3D displacement field measurement and contactless force sensing

ResearchSpace/Manakin Repository

Show simple item record

dc.contributor.author Zhao, D en
dc.contributor.author Haji Rassouliha, Amir en
dc.contributor.author Tang, EJLP en
dc.contributor.author Nash, Martyn en
dc.contributor.author Poul Nielsen, MF en
dc.contributor.author Taberner, Andrew en
dc.date.accessioned 2020-02-04T19:30:16Z en
dc.date.issued 2019-05-01 en
dc.identifier.citation IEEE Instrumentation and Measurement Technology Conference. 2019-May. 01 May 2019 en
dc.identifier.isbn 9781538634608 en
dc.identifier.uri http://hdl.handle.net/2292/49756 en
dc.description.abstract © 2019 IEEE. Recent advances in digital image correlation (DIC) techniques now enable full-field measurements of surface shape and deformation using relatively inexpensive camera systems. Yet, established methods are not without limitations, exhibiting only modest accuracy and considerable sensitivity to noise effects. In order to address this, we have developed an advanced computer vision toolbox with which it is possible to accurately detect three-dimensional (3D) surface displacements to a practical resolution of 10 \mu \mathrm{m} over a field of view of approximately \rm{150 mm \times 150 mm}. By taking advantage of a high-resolution subpixel image registration algorithm and a stereoscopic imaging system, a methodological basis for a highly accurate and comprehensive deformation analysis is presented. This was demonstrated by the application of known forces to a simple cantilever structure while measuring resultant surface deformations. Measurements were then compared with expected displacement values predicted by analytical calculations as well as a finite element model. Comparisons showed our measurements were within 120 \mu \mathrm{m} of model predictions. Subsequently, we propose a method of non-contact force-sensing by exploiting the relationship between known applied forces and acquired displacement data. For our dataset, the system was able to predict force to within 0.38 %. en
dc.relation.ispartofseries I2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri https://www.ieee.org/publications/rights/author-posting-policy.html en
dc.title A camera-based system for highly accurate 3D displacement field measurement and contactless force sensing en
dc.type Conference Item en
dc.identifier.doi 10.1109/I2MTC.2019.8826893 en
pubs.volume 2019-May en
dc.rights.holder Copyright: IEEE en
pubs.publication-status Published en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.elements-id 784390 en
pubs.org-id Bioengineering Institute en
pubs.org-id ABI Associates en
pubs.org-id Engineering en
pubs.org-id Engineering Science en


Full text options

Find Full text

This item appears in the following Collection(s)

Show simple item record

Share

Search ResearchSpace


Advanced Search

Browse