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

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dc.contributor.authorWilk, Mariusz P.
dc.contributor.authorO'Flynn, Brendan
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2020-01-08T12:23:19Z
dc.date.available2020-01-08T12:23:19Z
dc.date.issued2019-06
dc.date.updated2020-01-08T12:13:25Z
dc.description.abstractSubpixel 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.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationWilk, 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.2019.8904921en
dc.identifier.doi10.1109/ISSC.2019.8904921en
dc.identifier.eissn2688-1454
dc.identifier.endpage5en
dc.identifier.isbn978-1-7281-2800-9
dc.identifier.isbn978-1-7281-2801-6
dc.identifier.isbn978-1-7281-2799-6
dc.identifier.issn2688-1446
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/9461
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/en
dc.relation.urihttps://ieeexplore.ieee.org/document/8904921
dc.relation.urihttp://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.subjectSubpixelen
dc.subjectPoint detectionen
dc.subjectPrecision estimationen
dc.subjectAlgorithmen
dc.subjectTechniqueen
dc.subjectInternet of Thingsen
dc.titleReference point estimation technique for direct validation of subpixel point detection algorithms for Internet of Thingsen
dc.typeConference itemen
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