Please use this identifier to cite or link to this item: https://dspace.crs4.it/jspui/handle/1138/41
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dc.contributor["European Union (EU)" and "Horizon 2020"]
dc.contributor.authorGiachetti, Andrea
dc.contributor.authorCiortan, Irina
dc.contributor.authorDaffara, Claudia
dc.contributor.authorMarchioro, Giacomo
dc.contributor.authorPintus, Ruggero
dc.contributor.authorGobbetti, Enrico
dc.date.accessioned2017-09-25T08:09:58Z
dc.date.accessioned2020-11-09T17:07:58Z-
dc.date.available2017-09-25T08:09:58Z
dc.date.available2020-11-09T17:07:58Z-
dc.date.issued2017-05-30
dc.identifier.urihttp://oai.crs4.it/handle/1138/41
dc.identifier.urihttp://www.crs4.it/vic/cgi-bin/bib-page.cgi?id=%27Giachetti:2018:NFH%27
dc.identifier.urihttp://dspace.crs4.it/jspui/handle/1138/41-
dc.description.abstractWe 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.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.sponsorshipDSURF project (PRIN 2015) funded by the Italian Ministry of University and Research
dc.description.sponsorshipSardinian Regional Authorities under projects VIGEC and Vis&VideoLab
dc.languageengen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/665091/EU/Scan4Reco/Scan4Reco/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.uriinfo:eu-repo/semantics/openAccess
dc.sourceComputer Vision and Image Understanding 2018
dc.subjectReflectance Transformation Imagingen_US
dc.subjectPhotometric Stereoen_US
dc.subjectLight Calibrationen_US
dc.subjectMulti Light Image Collections
dc.subjectImage Enhancement
dc.titleA Novel Framework for Highlight Reflectance Transformation Imagingen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeinfo:eu-repo/semantics/acceptedVersion
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.openairetypeinfo:eu-repo/semantics/article-
item.openairetypeinfo:eu-repo/semantics/acceptedVersion-
crisitem.author.deptCRS4-
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