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Subpixel precision in registration of multimodal datasets

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Subpixel precision in registration of multimodal datasets

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

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

  • ISBN

  • ISSN

    1757-899X

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    012007

  • Publisher name

    IOP publishing

  • Place of publication

    Bristol

  • Event location

    online

  • Event date

    Oct 14, 2020

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article