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dc.contributor.authorTorrente, Maria-Lauraen_US
dc.contributor.authorBiasotti, Silviaen_US
dc.contributor.authorFalcidieno, Biancaen_US
dc.contributor.editorChiara Eva Catalano and Livio De Lucaen_US
dc.date.accessioned2016-10-05T06:27:40Z
dc.date.available2016-10-05T06:27:40Z
dc.date.issued2016
dc.identifier.isbn978-3-03868-011-6
dc.identifier.issn2312-6124
dc.identifier.urihttp://dx.doi.org/10.2312/gch.20161389
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/gch20161389
dc.description.abstractA method is proposed to identify and localize semantic features like anatomical characteristics or decorations on digital artefacts or fragments, even if the features are partially damaged or incomplete. This technique is based on a novel generalization of the Hough transform. Its major advantages are the relative robustness to noise and the recognition power also in the case of partial features. Our experiments on digital models of real artefacts show the potential of the method, which can work on both 3D meshes and point clouds.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectComputer graphics
dc.subjectShape modeling
dc.subjectShape analysis
dc.titleFeature Identification in Archaeological Fragments Using Families of Algebraic Curvesen_US
dc.description.seriesinformationEurographics Workshop on Graphics and Cultural Heritage
dc.description.sectionheadersAnalysis and Interpretation
dc.identifier.doi10.2312/gch.20161389
dc.identifier.pages93-96


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