Subpixel precision in registration of multimodal datasets

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F20%3A00536185" target="_blank" >RIV/67985556:_____/20:00536185 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1088/1757-899x/949/1/012007" target="_blank" >http://dx.doi.org/10.1088/1757-899x/949/1/012007</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1088/1757-899x/949/1/012007" target="_blank" >10.1088/1757-899x/949/1/012007</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Subpixel precision in registration of multimodal datasets

Popis výsledku v původním jazyce

The motivation for our research is the huge demand for registration of multimodal datasets in restorers practice. With an increasing number of various screening modalities, each analysis built on the acquired dataset starts with the registration of images acquired from different scanners and with varying levels of mutual correspondence. There is currently no well-suited state of the art method for this task. There are many existing approaches, i.e. based on control points or mutual information, but they do not provide satisfying (subpixel) precision, thus the registration is very often realized manually in Adobe Photoshop or any similar tool. Another popular option is to use scanners able to produce registered datasets by design. During the last 10 years, datasets from these devices have extended available analytical techniques the most.

Název v anglickém jazyce

Subpixel precision in registration of multimodal datasets

Popis výsledku anglicky

The motivation for our research is the huge demand for registration of multimodal datasets in restorers practice. With an increasing number of various screening modalities, each analysis built on the acquired dataset starts with the registration of images acquired from different scanners and with varying levels of mutual correspondence. There is currently no well-suited state of the art method for this task. There are many existing approaches, i.e. based on control points or mutual information, but they do not provide satisfying (subpixel) precision, thus the registration is very often realized manually in Adobe Photoshop or any similar tool. Another popular option is to use scanners able to produce registered datasets by design. During the last 10 years, datasets from these devices have extended available analytical techniques the most.

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

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

International Conference Florence Heri-tech: the Future of Heritage Science and Technologies 2020, Online Edition

ISBN

—

ISSN

1757-899X

e-ISSN

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Počet stran výsledku

10

Strana od-do

012007

Název nakladatele

IOP publishing

Místo vydání

Bristol

Místo konání akce

online

Datum konání akce

14. 10. 2020

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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