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pro vyhledávání: '"Atanbori, John"'
Autor:
Atanbori, John
Recognising animals based on distinctive body patterns, such as stripes, spots, or other markings, in night images is a complex task in computer vision. Existing methods for detecting animals in images often rely on colour information, which is not a
Externí odkaz:
http://arxiv.org/abs/2410.21044
Autor:
Tsiakiri, Anna, Giantsios, Christos, Vlotinou, Pinelopi, Nikolaidou, Anna, Atanbori, John, Sohani, Behnaz, Aliyu, Aliyu, Mournou, Anastasia, Peristeri, Eleni, Frantzidis, Christos
Publikováno v:
In Brain Organoid and Systems Neuroscience Journal December 2024 2:43-52
Autor:
Aliyu, Aliyu M., Choudhury, Raihan, Sohani, Behnaz, Atanbori, John, Ribeiro, Joseph X.F., Ahmed, Salem K.Brini, Mishra, Rakesh
Publikováno v:
In International Journal of Multiphase Flow July 2023 164
Autor:
Atanbori, John
Bird species are recognised as important biodiversity indicators: they are responsive to changes in sensitive ecosystems, whilst populations-level changes in behaviour are both visible and quantifiable. They are monitored by ecologists to determine f
Externí odkaz:
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.721916
Autor:
Atanbori, John1 (AUTHOR) john.atanbori@nottingham.ac.uk, French, Andrew P.1,2 (AUTHOR), Pridmore, Tony P.1 (AUTHOR)
Publikováno v:
Machine Vision & Applications. Feb2020, Vol. 31 Issue 1/2, p1-14. 14p.
Additional file 1: Figure S1. Root image acquisition platform. 1. Semi-rigid polystyrene foam 2. Metallic support 3. Root separator 4. Root system 5. Camera 6. Cloth black background 7. Tripod. Figure S2. Work flow of Root image analysis. (a) Origina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b52662d7c5eae3c1860d0b43232e7a93
Publikováno v:
CVPPP 2018: Workshop on Computer Vision Problems in Plant Phenotyping
Segmentation is the core of most plant phenotyping applications. Current state-of-the-art plant phenotyping applications rely on deep Convolutional Neural Networks (CNNs). However, these networks have many layers and parameters, increasing training a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d0a771ba8d1aef587563d41fc08ce53c
https://igi.indrastra.com/items/show/19989
https://igi.indrastra.com/items/show/19989
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