Moscoso Thompson, EliaArvanitis, G.Moustakas, KonstantinosHoang-Xuan, N.Nguyen, E. R.Tran, M.Lejemble, T.Barthe, L.Mellado, N.Romanengo, C.Biasotti, S.FALCIDIENO, BIANCABiasotti, Silvia and Lavoué, Guillaume and Veltkamp, Remco2019-05-042019-05-042019978-3-03868-077-21997-0471https://doi.org/10.2312/3dor.20191066https://diglib.eg.org:443/handle/10.2312/3dor20191066This 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.Information systemsContent analysis and feature selectionComputing methodologiesShape analysisSearch methodologies10.2312/3dor.2019106685-92