Multispectral RTI Analysis of Heterogeneous Artworks

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dc.contributor.authorGiachetti, Andreaen_US
dc.contributor.authorCiortan, Irina Mihaelaen_US
dc.contributor.authorDaffara, Claudiaen_US
dc.contributor.authorPintus, Ruggeroen_US
dc.contributor.authorGobbetti, Enricoen_US
dc.contributor.editorTobias Schreck and Tim Weyrich and Robert Sablatnig and Benjamin Stularen_US
dc.date.accessioned2017-09-27T06:39:14Z
dc.date.available2017-09-27T06:39:14Z
dc.date.issued2017
dc.description.abstractWe propose a novel multi-spectral reflectance transformation imaging (MS-RTI) framework for the acquisition and direct analysis of the reflectance behavior of heterogeneous artworks. Starting from free-form acquisitions, we compute per-pixel calibrated multi-spectral appearance profiles, which associate a reflectance value to each sampled light direction and frequency. Visualization, relighting, and feature extraction is performed directly on appearance profile data, applying scattered data interpolation based on Radial Basis Functions to estimate per-pixel reflectance from novel lighting directions. We demonstrate how the proposed solution can convey more insights on the object materials and geometric details compared to classical multi-light methods that rely on low-frequency analytical model fitting eventually mixed with a separate handling of high-frequency components, hence requiring constraining priors on material behavior. The flexibility of our approach is illustrated on two heterogeneous case studies, a painting and a dark shiny metallic sculpture, that showcase feature extraction, visualization, and analysis of high-frequency properties of artworks using multi-light, multi-spectral (Visible, UV and IR) acquisitions.en_US
dc.description.sectionheadersAcquisition and Analysis
dc.description.seriesinformationEurographics Workshop on Graphics and Cultural Heritage
dc.identifier.doi10.2312/gch.20171288
dc.identifier.isbn978-3-03868-037-6
dc.identifier.issn2312-6124
dc.identifier.pages19-28
dc.identifier.urihttps://doi.org/10.2312/gch.20171288
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/gch20171288
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.1 [Image processing and Computer Vision]
dc.subjectDigitization and Image Capture
dc.subjectImaging Geometry
dc.subjectI.3.3 [Computer Graphics]
dc.subjectDigitizing and Scanning—
dc.subjectI.3.8 [Computer Graphics]
dc.subjectApplications
dc.titleMultispectral RTI Analysis of Heterogeneous Artworksen_US
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GCH 2017 - Eurographics Workshop on Graphics and Cultural Heritage