Please use this identifier to cite or link to this item: https://dspace.crs4.it/jspui/handle/1138/39
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dc.contributor["European Union (EU)" and "Horizon 2020"]
dc.contributor.authorGiachetti, Andreaen_US
dc.contributor.authorCiortan, Irinaen_US
dc.contributor.authorDaffara, Claudiaen_US
dc.contributor.authorPintus, Ruggeroen_US
dc.contributor.authorGobbetti, Enricoen_US
dc.date.accessioned2017-09-25T07:44:13Z
dc.date.accessioned2020-11-09T17:07:57Z-
dc.date.available2017-09-25T07:44:13Z
dc.date.available2020-11-09T17:07:57Z-
dc.date.issued2017-09-
dc.identifier.urihttp://oai.crs4.it/handle/1138/39-
dc.identifier.urihttp://www.crs4.it/vic/cgi-bin/bib-page.cgi?id=%27Giachetti:2017:MRA%27-
dc.identifier.urihttp://dspace.crs4.it/jspui/handle/1138/39-
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.sponsorshipTerms: "European Union (EU)" & "Horizon 2020" / Action: H2020-EU.3.6.3. - Reflective societies - cultural heritage and European identity / Acronym: Scan4Reco / Grant number: 665091en_US
dc.description.sponsorshipthe DSURF (PRIN 2015) project funded by the Italian Ministry of University and Research
dc.description.sponsorshipSardinian Regional Authorities under projects VIGEC and Vis&VideoLab
dc.language.isoenen_US
dc.publisherthe Eurographics Associationen_US
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/665091/EU/Scan4Reco/Scan4Reco/
dc.rights.uriinfo:eu-repo/semantics/openAccess
dc.sourceThe 14th Eurographics Worhshop on Graphics and Cultural Heritage 2017
dc.subjectMultispectralen_US
dc.subjectReflectance Transformation Imagingen_US
dc.subjectCultural Heritageen_US
dc.subjectPhotometric Stereoen_US
dc.subjectAppearance Profileen_US
dc.subjectRadial Basis Functionsen_US
dc.subjectI.4.1 [Image processing and Computer Vision]: Digitization and Image Capture—Imaging Geometry I.3.3 [Computer Graphics]: Digitizing and Scanning— I.3.8 [Computer Graphics]: Applications
dc.titleMultispectral RTI Analysis of Heterogeneous Artworksen_US
dc.typeconference paperen_US
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.openairetypeconference paper-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
crisitem.author.orcid0000-0003-0541-1039-
crisitem.author.orcid0000-0003-1786-7068-
crisitem.author.orcid0000-0003-0831-2458-
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