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

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Date
2019-06
Authors
Wilk, Mariusz P.
O'Flynn, Brendan
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Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published Version
10.1109/ISSC.2019.8904921
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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.
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Keywords
Subpixel , Point detection , Precision estimation , Algorithm , Technique , Internet of Things
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
Link to publisher’s version
https://ieeexplore.ieee.org/document/8904921
 http://www.issc.ie/site/view/7/
URI
https://hdl.handle.net/10468/9461
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Tyndall National Institute - Conference Items
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