Visual Analysis of RIS Data for Endmember Selection

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dc.contributor.authorPopa, Andraen_US
dc.contributor.authorGabrieli, Francescaen_US
dc.contributor.authorKroes, Thomasen_US
dc.contributor.authorKrekeler, Annaen_US
dc.contributor.authorAlfeld, Matthiasen_US
dc.contributor.authorLelieveldt, Boudewijnen_US
dc.contributor.authorEisemann, Elmaren_US
dc.contributor.authorHöllt, Thomasen_US
dc.contributor.editorPonchio, Federicoen_US
dc.contributor.editorPintus, Ruggeroen_US
dc.date.accessioned2022-09-26T10:00:02Z
dc.date.available2022-09-26T10:00:02Z
dc.date.issued2022
dc.description.abstractReflectance Imaging Spectroscopy (RIS) is a hyperspectral imaging technique used for investigating the molecular composition of materials. It can help identify pigments used in a painting, which are relevant information for art conservation and history. For every scanned pixel, a reflectance spectrum is obtained and domain experts look for pure representative spectra, called endmembers, which could indicate the presence of particular pigments. However, the identification of endmembers can be a lengthy process, which requires domain experts to manually select pixels and visually inspect multiple spectra in order to find accurate endmembers that belong to the historical context of an investigated painting. We propose an integrated interactive visual-analysis workflow, that combines dimensionality reduction and linked visualizations to identify and inspect endmembers. Here, we present initial results, obtained in collaboration with domain experts.en_US
dc.description.sectionheadersSession 5
dc.description.seriesinformationEurographics Workshop on Graphics and Cultural Heritage
dc.identifier.doi10.2312/gch.20221233
dc.identifier.isbn978-3-03868-178-6
dc.identifier.issn2312-6124
dc.identifier.pages103-106
dc.identifier.pages4 pages
dc.identifier.urihttps://doi.org/10.2312/gch.20221233
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/gch20221233
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing --> Visual analytics; Visualization systems and tools; Applied computing --> Fine arts
dc.subjectHuman centered computing
dc.subjectVisual analytics
dc.subjectVisualization systems and tools
dc.subjectApplied computing
dc.subjectFine arts
dc.titleVisual Analysis of RIS Data for Endmember Selectionen_US
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GCH 2022 - Eurographics Workshop on Graphics and Cultural Heritage