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dc.contributor.authorMoscoso Thompson, Eliaen_US
dc.contributor.authorArvanitis, G.en_US
dc.contributor.authorMoustakas, Konstantinosen_US
dc.contributor.authorHoang-Xuan, N.en_US
dc.contributor.authorNguyen, E. R.en_US
dc.contributor.authorTran, M.en_US
dc.contributor.authorLejemble, T.en_US
dc.contributor.authorBarthe, L.en_US
dc.contributor.authorMellado, N.en_US
dc.contributor.authorRomanengo, C.en_US
dc.contributor.authorBiasotti, S.en_US
dc.contributor.authorFALCIDIENO, BIANCAen_US
dc.contributor.editorBiasotti, Silvia and Lavoué, Guillaume and Veltkamp, Remcoen_US
dc.date.accessioned2019-05-04T14:06:04Z
dc.date.available2019-05-04T14:06:04Z
dc.date.issued2019
dc.identifier.isbn978-3-03868-077-2
dc.identifier.issn1997-0471
dc.identifier.urihttps://doi.org/10.2312/3dor.20191066
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/3dor20191066
dc.description.abstractThis paper presents the results of the SHREC'19 track: Feature curve extraction on triangle meshes. Given a model, the challenge consists in automatically extracting a subset of the mesh vertices that jointly represent a feature curve. As an optional task, participants were requested to send also a similarity evaluation among the feature curves extracted. The various approaches presented by the participants are discussed, together with their results. The proposed methods highlight different points of view of the problem of feature curve extraction. It is interesting to see that it is possible to deal with this problem with good results, despite the different approaches.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectInformation systems
dc.subjectContent analysis and feature selection
dc.subjectComputing methodologies
dc.subjectShape analysis
dc.subjectSearch methodologies
dc.titleFeature Curve Extraction on Triangle Meshesen_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrieval
dc.description.sectionheadersSHREC Session 2
dc.identifier.doi10.2312/3dor.20191066
dc.identifier.pages85-92


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