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DC poleHodnotaJazyk
dc.contributor.authorMrzyglod, Jan
dc.contributor.authorKowalski, Przemysław
dc.contributor.editorSkala, Václav
dc.date.accessioned2024-08-01T18:40:56Z-
dc.date.available2024-08-01T18:40:56Z-
dc.date.issued2024
dc.identifier.citationWSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 395-402.en
dc.identifier.issn2464–4625 (online)
dc.identifier.issn2464–4617 (print)
dc.identifier.urihttp://hdl.handle.net/11025/57415
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectbarevný prostorcs
dc.subjectdetekce barevcs
dc.subjectdetekce markerůcs
dc.subjectzpracování obrazucs
dc.subjectpočítačové viděnícs
dc.subjectvirtuální realitacs
dc.subjectstrojové učenícs
dc.subjectreálný čascs
dc.titleThe color recognition methods for the active markers in the motion capture system, using various techniques, including MLen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe article focuses on a method for reliably identify moving colored artificial markers in real-time. The marker was used to determine the 3D position in the space of the user(s). The goal was to ensure that points were found and identified predictably and reliably by many cameras simultaneously, which, with appropriate calibration, merging, and processing of the data, could provide reliable information about the current 3D position of a given point in real-time. This information was crucial to other components of the broader vision system (VR platform). The problems encountered and the remedial methods discussed in the presentation concern several aspects that we encountered during research, such as changes in lighting conditions, the quality (and stability) of the generated light and color, the dependence of color recognition on the distance of the light source from the camera matrix, aspects of light reflections, and many others. During our research, we analyzed various RGB/RGBW LED light sources from different manufacturers, which are characterized by different light generation characteristics. We also used a light diffuser. Using different sets of cameras and lighting conditions, we conducted several studies and experiments. During the research, we managed to find basic colors for our marker-tracking visual system that met the goals. We have proposed an algorithm to deal with the problem and demonstrate the reliability of the visual layout with the algorithm. During our research, we used both conventional and alternative techniques related to ML.en
dc.subject.translatedcolor spaceen
dc.subject.translatedcolor detectionen
dc.subject.translatedmarker detectionen
dc.subject.translatedimage processingen
dc.subject.translatedcomputer visionen
dc.subject.translatedvirtual realityen
dc.subject.translatedmachine learningen
dc.subject.translatedreal timeen
dc.identifier.doihttps://doi.org/10.24132/10.24132/CSRN.3401.44
dc.type.statusPeer revieweden
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