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Analysis of Counterfeits Using Color Models for the Presentation of Painting in Virtual Reality

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F21%3A63533498" target="_blank" >RIV/70883521:28140/21:63533498 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007%2F978-3-030-90318-3_49" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-90318-3_49</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-90318-3_49" target="_blank" >10.1007/978-3-030-90318-3_49</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis of Counterfeits Using Color Models for the Presentation of Painting in Virtual Reality

  • Original language description

    The black market for counterfeit works of art is the third most lucrative in the world. The digitalization of art and introduction into the virtual environment allows for a high rate of these counterfeit works. The issue of verifying original works in the online environment currently brings new challenges in the field of forensic science, in particular fields of color vision and working with light, colors, and color models, thus opening new approaches of art verification and presentation. This article deals with image processing and digitalization in color fields and their definition in color spaces. In order to determine a color model of a digitally processed image and for a specific color used, authentic artwork is analyzed by graphic software. This text aims to find and define the same color tone with the actual color tone of the original artwork in the digital environment and color spaces. The definition of color can be an attribute for verifying the originality of a work of art in a digital environment. At present, a precise definition of the color of a painting can help to achieve more accurate reproduction of artwork in a virtual reality environment and its visual perception by the user.

  • 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

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes in Networks and Systems

  • ISBN

    978-303090320-6

  • ISSN

    23673370

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    "609 "- 620

  • Publisher name

    Springer Science and Business Media Deutschland GmbH

  • Place of publication

    Berlín

  • Event location

    Zlín

  • Event date

    Oct 1, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article