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dc.contributor.authorCoudert-Osmont, Yoannen_US
dc.contributor.authorEisemann, Elmaren_US
dc.contributor.authorMarroquim, Ricardoen_US
dc.contributor.editorPonchio, Federicoen_US
dc.contributor.editorPintus, Ruggeroen_US
dc.date.accessioned2022-09-26T09:59:50Z
dc.date.available2022-09-26T09:59:50Z
dc.date.issued2022
dc.identifier.isbn978-3-03868-178-6
dc.identifier.issn2312-6124
dc.identifier.urihttps://doi.org/10.2312/gch.20221219
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/gch20221219
dc.description.abstractPerspective cues play an important role in painting analysis as it may unveil important characteristics about the painter's techniques and creation process. Nevertheless, extracting perspective lines and their corresponding vanishing points is usually a laborious manual task. Moreover, small variations in the lines may lead to large variations in the vanishing points. In this work, we propose a semi-automatic method to extract perspective lines from paintings in order to mitigate the human variability factor and reduce the workload.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies --> Image processing; Applied computing --> Fine arts
dc.subjectComputing methodologies
dc.subjectImage processing
dc.subjectApplied computing
dc.subjectFine arts
dc.titleSemi-Automatic Perspective Lines from Paintingsen_US
dc.description.seriesinformationEurographics Workshop on Graphics and Cultural Heritage
dc.description.sectionheadersSession 2
dc.identifier.doi10.2312/gch.20221219
dc.identifier.pages23-32
dc.identifier.pages10 pages


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License