Suitable Embedding to Find Similarity Between Left and Right Retinas of a Person
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU134940" target="_blank" >RIV/00216305:26230/19:PU134940 - isvavai.cz</a>
Result on the web
<a href="https://www.fit.vut.cz/research/publication/11259/" target="_blank" >https://www.fit.vut.cz/research/publication/11259/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CISP-BMEI48845.2019.8965917" target="_blank" >10.1109/CISP-BMEI48845.2019.8965917</a>
Alternative languages
Result language
angličtina
Original language name
Suitable Embedding to Find Similarity Between Left and Right Retinas of a Person
Original language description
It is often argued among biometric researchers that the left and right retinas of the same person are as different as the retinas of two different persons. However, in our previous work we showed that by looking at retinal images human volunteers can find some similarity and tell whether a pair of the left and right retinal images belongs to a single person or to two different persons. We also showed that using cosine similarity between the embedded vectors of two retinal images it is possible to find the correct right retinal image for a left retinal image more than what could be expected by chance. In this paper we investigate which type of embedding can give us better cosine similarity measurement between the left and right retinal images of a person.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics
ISBN
978-1-7281-4852-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
IEEE Computer Society
Place of publication
Suzhou
Event location
Huaqiao
Event date
Dec 21, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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