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Analysis of counterfeits using color models for the presentation of painting in virtual reality

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dc.title Analysis of counterfeits using color models for the presentation of painting in virtual reality en
dc.contributor.author Drofová, Irena
dc.contributor.author Adámek, Milan
dc.relation.ispartof Lecture Notes in Networks and Systems
dc.identifier.issn 2367-3370 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-03-090317-6
dc.date.issued 2021
utb.relation.volume 232 LNNS
dc.citation.spage 609
dc.citation.epage 620
dc.event.title 5th Computational Methods in Systems and Software, CoMeSySo 2021
dc.event.location online
dc.event.sdate 2021-10-01
dc.event.edate 2021-10-01
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Science and Business Media Deutschland GmbH
dc.identifier.doi 10.1007/978-3-030-90318-3_49
dc.relation.uri https://link.springer.com/chapter/10.1007%2F978-3-030-90318-3_49
dc.subject color model en
dc.subject counterfeits en
dc.subject forensic art en
dc.subject virtual reality en
dc.description.abstract 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. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1010730
utb.identifier.obdid 43882742
utb.identifier.scopus 2-s2.0-85120556973
utb.source d-scopus
dc.date.accessioned 2021-12-22T11:51:36Z
dc.date.available 2021-12-22T11:51:36Z
dc.description.sponsorship IGA/CebiaTech/2021/004
utb.ou Department of Security Engineering
utb.contributor.internalauthor Drofová, Irena
utb.contributor.internalauthor Adámek, Milan
utb.fulltext.affiliation Irena Drofova1 [1] and Milan Adamek2 [1] 1 Tomas Bata University in Zlin, Faculty of Applied Informatics, Department of Security Engineering, Czech Republic drofova@utb.cz
utb.fulltext.dates -
utb.fulltext.references 1. J. A. Siegel and P. J. Saukko, Encyclopedia of Forensic Sciences, Academic Press, 2013, ISBN 978-0-12-382165-2. 2. A. Pelagotti, A. Piva, F. Uccheddu, D. Shullani, M. F. Alberghina, S. Schiavone, E. Massa and C. M. Menchetti, Forensic Imaging for Art Diagnostics. What Evidence Should We Trust?, IOP Publishing Ltd, 2020, IOP Conf. Ser.: Mater. Sci. Eng. 949 012076, ISSN: 17578981, DOI: 10.1088/1757-899X/949/1/012076 3. E. Gultebpe, E Thomas, and M. M. Conturo, Predicting and grouping digitized paintings by style using unsupervised feature learning, Journal of Cultural Heritage., 2018, vol. 31, 13-23., ISSN 1296-2074., DOI:10.1016/j.culher.2017.11.008 4. Dohnal M., Barevne videni. Kolorimetrie, Univerzita Pardubice, 2019, ISBN: 978-80-7560-246-6. 5. P. Ehkan, S. V. Siew, F. F. Zakaria, M. N. M. Warip and M. Z. Ilyas, Comparative Study of Parallelismand Pipelining of RGB to HSL Colour Space Conversion Architectureon FPGA, IOP Conf. Series: Materials Science and Engineering., 2020 DOI:10.1088/1757-899X/767/1/012054. 6. M. Dohnal, Fyzikalni zaklady reprodukce obrazu, Univerzita Pardubice, 2007, ISBN: 978-80-7194-945-9. 7. Koh-i-Noor, the official website 2021, https://www.koh-i-noor.cz/ 8. Adobe, the official website, 2021, https://www.adobe.com/ 9. Pantone, the official website, 2021, https://www.pantone.com/eu/en/color-finder 10. Unity, the official website, 2021, https://docs.unity3d.com/Manual/index.html 11. Unsplash 2021 https://unsplash.com/backgrounds/art/texture
utb.fulltext.sponsorship This research was based on the support of the author of the painting, Mr. Michal Pasma, and of the International Grand Agency of Thomas Bata University in Zlin, IGA/CebiaTech/2021/004, and the Department of Security Engineering, Faculty of Applied Informatics.
utb.scopus.affiliation Faculty of Applied Informatics, Department of Security Engineering, Tomas Bata University in Zlin, Zlín, Czech Republic
utb.fulltext.projects IGA/CebiaTech/2021/004
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.ou Department of Security Engineering
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