Analysis of Counterfeits Using Color Models for the Presentation of Painting in Virtual Reality
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Analysis of Counterfeits Using Color Models for the Presentation of Painting in Virtual Reality
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Analysis of Counterfeits Using Color Models for the Presentation of Painting in Virtual Reality
Popis výsledku anglicky
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.
Klasifikace
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)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Lecture Notes in Networks and Systems
ISBN
978-303090320-6
ISSN
23673370
e-ISSN
—
Počet stran výsledku
12
Strana od-do
"609 "- 620
Název nakladatele
Springer Science and Business Media Deutschland GmbH
Místo vydání
Berlín
Místo konání akce
Zlín
Datum konání akce
1. 10. 2021
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—