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SHREC'19 track: Feature Curve Extraction on Triangle Meshes

Conference Paper
Publication Date:
2019
abstract:
This 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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Information systems: Content analysis and feature selection; Computing methodologies: Shape analysis; Search methodologies;
List of contributors:
Falcidieno, Bianca; MOSCOSO THOMPSON, Elia; Romanengo, Chiara; Biasotti, SILVIA MARIA
Authors of the University:
BIASOTTI SILVIA MARIA
MOSCOSO THOMPSON ELIA
Handle:
https://iris.cnr.it/handle/20.500.14243/367316
Book title:
Eurographics Workshop on 3D Object Retrieval (2019) - SHREC - 3D Shape Retrieval Contest (2019)
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URL

https://diglib.eg.org/handle/10.2312/3dor20191066
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