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Title: Multispectral RTI Analysis of Heterogeneous Artworks
Authors: Giachetti, Andrea 
Ciortan, Irina 
Daffara, Claudia 
Pintus, Ruggero 
Gobbetti, Enrico 
Keywords: Multispectral;Reflectance Transformation Imaging;Cultural Heritage;Photometric Stereo;Appearance Profile;Radial Basis Functions;I.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
Issue Date: Sep-2017
Publisher: the Eurographics Association
Project: info:eu-repo/grantAgreement/EC/H2020/665091/EU/Scan4Reco/Scan4Reco/ 
We 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.
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