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
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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
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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
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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
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