Reference point estimation technique for direct validation of subpixel point detection algorithms for Internet of Things

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dc.contributor.author Wilk, Mariusz P.
dc.contributor.author O'Flynn, Brendan
dc.date.accessioned 2020-01-08T12:23:19Z
dc.date.available 2020-01-08T12:23:19Z
dc.date.issued 2019-06
dc.identifier.citation Wilk, M. P.and O'Flynn, B. (2019) 'Reference point estimation technique for direct validation of subpixel point detection algorithms for Internet of Things', 2019 30th Irish Signals and Systems Conference (ISSC), Maynooth, Ireland, 17-18 June. doi: 10.1109/ISSC.2019.8904921 en
dc.identifier.startpage 1 en
dc.identifier.endpage 5 en
dc.identifier.isbn 978-1-7281-2800-9
dc.identifier.isbn 978-1-7281-2801-6
dc.identifier.isbn 978-1-7281-2799-6
dc.identifier.issn 2688-1446
dc.identifier.uri http://hdl.handle.net/10468/9461
dc.identifier.doi 10.1109/ISSC.2019.8904921 en
dc.description.abstract Subpixel point detection algorithms are important in many application spaces, especially those where limitations of the imaging device's resolution need to be overcome. Such algorithms help decrease the overall requirements of the given system. Many factors, such as power consumption and cost, are critical in the context of the Internet of Things. While these algorithms do offer an improvement in the precision of point detection, it is often difficult to directly determine their precision. The main reason for it is the lack of the point of reference that the outputs of subpixel point detection methods can be compared to. In this work, we present a novel method for finding the point of reference for validating the subpixel point detection algorithms directly. Its operation is demonstrated on an experimentally obtained sample dataset. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) en
dc.relation.uri https://ieeexplore.ieee.org/document/8904921
dc.relation.uri http://www.issc.ie/site/view/7/
dc.rights © 2019, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. en
dc.subject Subpixel en
dc.subject Point detection en
dc.subject Precision estimation en
dc.subject Algorithm en
dc.subject Technique en
dc.subject Internet of Things en
dc.title Reference point estimation technique for direct validation of subpixel point detection algorithms for Internet of Things en
dc.type Conference item en
dc.internal.authorcontactother Mariusz Wilk, Tyndall National Institute, University College Cork,Cork,Ireland. T: +353-21-490-3000 E: mariusz.wilk@tyndall.ie en
dc.internal.availability Full text available en
dc.date.updated 2020-01-08T12:13:25Z
dc.description.version Accepted Version en
dc.internal.rssid 500173139
dc.contributor.funder Science Foundation Ireland en
dc.contributor.funder European Regional Development Fund en
dc.description.status Peer reviewed en
dc.internal.copyrightchecked Yes
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation Maynooth, Ireland en
dc.internal.IRISemailaddress mariusz.wilk@tyndall.ie en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/ en
dc.identifier.eissn 2688-1454


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