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Presentation . 2022
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ZENODO
Presentation . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Other literature type . 2022
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Multi-Template-Matching for object-detection (slides)

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 16 May 2022Publisher:ZenodoFunded by:EC | ImageInLife
Authors: Laurent Thomas;

doi: 10.5281/zenodo.6554165 , 10.5281/zenodo.6554166

Multi-Template-Matching for object-detection (slides)

Abstract

This presentations describes Multi-Template-Matching, a novel method extending on template-matching for object-detection in images. The project was part of the PhD project of Laurent Thomas between 2017 and 2020, under supervision of Jochen Gehrig. The project was hosted at ACQUIFER Imaging with collaboration of the medical university of Heidelberg, and part of the ImageInLife Horizon2020 ITN (PhD program).

Keywords

template-matching, pattern recognition, microscopy, opencv, object-detection

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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