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dc.title | Color models in the process of 3D digitization of an artwork for presentation in a VR environment of an art gallery † | en |
dc.contributor.author | Drofová, Irena | |
dc.contributor.author | Adámek, Milan | |
dc.relation.ispartof | Electronics (Switzerland) | |
dc.identifier.issn | 2079-9292 Scopus Sources, Sherpa/RoMEO, JCR | |
dc.date.issued | 2024 | |
utb.relation.volume | 13 | |
utb.relation.issue | 22 | |
dc.type | article | |
dc.language.iso | en | |
dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) | |
dc.identifier.doi | 10.3390/electronics13224431 | |
dc.relation.uri | https://www.mdpi.com/2079-9292/13/22/4431 | |
dc.subject | color model | en |
dc.subject | image processing | en |
dc.subject | virtual reality | en |
dc.subject | photogrammetry | en |
dc.subject | 3D model | en |
dc.subject | 3D reconstruction | en |
dc.subject | forensic science | en |
dc.description.abstract | This study deals with the color reproduction of a work of art to digitize it into a 3D realistic model. The experiment aims to digitize a work of art for application in a virtual reality environment concerning faithful color reproduction. Photogrammetry and scanning with a LiDAR sensor are used to compare the methods and work with colors during the reconstruction of the 3D model. An innovative tablet with a camera and LiDAR sensor is used for both methods. At the same time, current findings from the field of color vision and colorimetry are applied to 3D reconstruction. The experiment focuses on working with the RGB and L*a*b* color models and, simultaneously, on the sRGB, CIE XYZ, and Rec.2020(HDR) color spaces for transforming colors into a virtual environment. For this purpose, the color is defined in the Hex Color Value format. This experiment is a starting point for further research on color reproduction in the digital environment. This study represents a partial contribution to the much-discussed area of forgeries of works of art in current trends in forensics and forgery. | en |
utb.faculty | Faculty of Applied Informatics | |
dc.identifier.uri | http://hdl.handle.net/10563/1012278 | |
utb.identifier.scopus | 2-s2.0-85210308554 | |
utb.identifier.wok | 001364769100001 | |
utb.source | j-scopus | |
dc.date.accessioned | 2025-01-30T10:36:19Z | |
dc.date.available | 2025-01-30T10:36:19Z | |
dc.description.sponsorship | Internal Grant Agency of Tomas Bata University, (IGA/CebiaTech/2024/004) | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.rights.access | openAccess | |
utb.contributor.internalauthor | Drofová, Irena | |
utb.contributor.internalauthor | Adámek, Milan | |
utb.fulltext.sponsorship | This research was funded by the Internal Grant Agency of Tomas Bata University, supported under project No. IGA/CebiaTech/2024/004. | |
utb.wos.affiliation | [Drofova, Irena; Adamek, Milan] Tomas Bata Univ Zlin, Fac Appl Informat, Zlin 76005, Czech Republic | |
utb.scopus.affiliation | Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, 760 05, Czech Republic | |
utb.fulltext.projects | IGA/CebiaTech/2024/004 |