Visual Analysis of RIS Data for Endmember Selection

Conference Paper (2022)
Author(s)

A. Popa (Student TU Delft)

Francesca Gabrieli (Rijksmuseum)

Thomas Kroes (Leiden University Medical Center)

A Krekeler (Rijksmuseum)

M.W.E.M. Alfeld (TU Delft - Team Matthias Alfeld)

B. Lelieveldt (Leiden University Medical Center)

E. Eisemann (TU Delft - Computer Graphics and Visualisation)

Thomas Höllt (TU Delft - Computer Graphics and Visualisation)

Research Group
Team Matthias Alfeld
Copyright
© 2022 A. Popa, F. Gabrieli, T. Kroes, A. Krekeler, M.W.E.M. Alfeld, B.P.F. Lelieveldt, E. Eisemann, T. Höllt
DOI related publication
https://doi.org/10.2312/gch.20221233
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 A. Popa, F. Gabrieli, T. Kroes, A. Krekeler, M.W.E.M. Alfeld, B.P.F. Lelieveldt, E. Eisemann, T. Höllt
Research Group
Team Matthias Alfeld
Pages (from-to)
103-106
ISBN (print)
978-3-03868-178-6
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Reflectance 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.