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A Novel Framework for Highlight Reflectance Transformation Imaging

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dc.contributor ["European Union (EU)" and "Horizon 2020"]
dc.contributor.author Giachetti, Andrea
dc.contributor.author Ciortan, Irina
dc.contributor.author Daffara, Claudia
dc.contributor.author Marchioro, Giacomo
dc.contributor.author Pintus, Ruggero
dc.contributor.author Gobbetti, Enrico
dc.date.accessioned 2017-09-25T08:09:58Z
dc.date.available 2017-09-25T08:09:58Z
dc.date.issued 2017-05-30
dc.identifier.uri http://oai.crs4.it/handle/1138/41
dc.identifier.uri http://www.crs4.it/vic/cgi-bin/bib-page.cgi?id=%27Giachetti:2018:NFH%27
dc.description.abstract We propose a novel pipeline and related software tools for processing the multi-light image collections (MLICs) acquired in different application contexts to obtain shape and appearance information of captured surfaces, as well as to derive compact relightable representations of them. Our pipeline extends the popular Highlight Reflectance Transformation Imaging (H-RTI) framework, which is widely used in the Cultural Heritage domain. We support, in particular, perspective camera modeling, per-pixel interpolated light direction estimation, as well as light normalization correcting vignetting and uneven non-directional illumination. Furthermore, we propose two novel easy-to-use software tools to simplify all processing steps. The tools, in addition to support easy processing and encoding of pixel data, implement a variety of visualizations, as well as multiple reflectance-model-fitting options. Experimental tests on synthetic and real-world MLICs demonstrate the usefulness of the novel algorithmic framework and the potential benefits of the proposed tools for end-user applications. en_US
dc.description.sponsorship Terms: "European Union (EU)" & "Horizon 2020" / Action: H2020-EU.3.6.3. - Reflective societies - cultural heritage and European identity / Acronym: Scan4Reco / Grant number: 665091 en_US
dc.description.sponsorship DSURF project (PRIN 2015) funded by the Italian Ministry of University and Research
dc.description.sponsorship Sardinian Regional Authorities under projects VIGEC and Vis&VideoLab
dc.language eng en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation info:eu-repo/grantAgreement/EC/H2020/665091/EU/Scan4Reco/Scan4Reco/
dc.rights info:eu-repo/semantics/openAccess
dc.rights.uri info:eu-repo/semantics/openAccess
dc.source Computer Vision and Image Understanding 2018
dc.subject Reflectance Transformation Imaging en_US
dc.subject Photometric Stereo en_US
dc.subject Light Calibration en_US
dc.subject Multi Light Image Collections
dc.subject Image Enhancement
dc.title A Novel Framework for Highlight Reflectance Transformation Imaging en_US
dc.type info:eu-repo/semantics/article en_US
dc.type info:eu-repo/semantics/acceptedVersion


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