Suitable Embedding to Find Similarity Between Left and Right Retinas of a Person

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Suitable Embedding to Find Similarity Between Left and Right Retinas of a Person

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Suitable Embedding to Find Similarity Between Left and Right Retinas of a Person

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics

ISBN

978-1-7281-4852-6

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

IEEE Computer Society

Místo vydání

Suzhou

Místo konání akce

Huaqiao

Datum konání akce

21. 12. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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