This paper presents the results of the SHREC'18 track: Retrieval of gray patterns depicted on 3D models. The task proposed in the contest challenges the possibility of retrieving surfaces with the same texture pattern of a given query model. This task, which can be seen as a simplified version of many real world applications, requires a characterization of the surfaces based on local features, rather then considering the surface size and/or bending. All runs submitted to this track are based on feature vectors. The retrieval performances of the runs submitted for evaluation reveal that texture pattern retrieval is a challenging issue. Indeed, a good balance between the size of the pattern and the dimension of the region around a vertex used to locally analyze the color evolution is crucial for pattern description.
SHREC'18 track: Retrieval of gray patterns depicted on 3D models
E Moscoso Thompson;S Biasotti
2018
Abstract
This paper presents the results of the SHREC'18 track: Retrieval of gray patterns depicted on 3D models. The task proposed in the contest challenges the possibility of retrieving surfaces with the same texture pattern of a given query model. This task, which can be seen as a simplified version of many real world applications, requires a characterization of the surfaces based on local features, rather then considering the surface size and/or bending. All runs submitted to this track are based on feature vectors. The retrieval performances of the runs submitted for evaluation reveal that texture pattern retrieval is a challenging issue. Indeed, a good balance between the size of the pattern and the dimension of the region around a vertex used to locally analyze the color evolution is crucial for pattern description.File | Dimensione | Formato | |
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prod_387168-doc_133141.pdf
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Descrizione: EG 3DOR 2018 Eurographics Workshop on 3D Object Retrieval
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prod_387168-doc_133142.pdf
solo utenti autorizzati
Descrizione: SHREC'18 track: Retrieval of gray patterns depicted on 3D models
Tipologia:
Versione Editoriale (PDF)
Dimensione
2.2 MB
Formato
Adobe PDF
|
2.2 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
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