SHREC'18 track: Retrieval of gray patterns depicted on 3D models

E. Moscoso Thompson (1) , C Tortorici , N Werghi , S Berretti , Santiago Velasco-Forero (2) , S Biasotti

1 IMATI - Istituto di Matematica Applicata e Tecnologie Informatiche
2 CMM - Centre de Morphologie Mathématique

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.

Domaines: Traitement du signal et de l'image [eess.SP]; Intelligence artificielle [cs.AI]; Mathématique discrète [cs.DM]; Traitement des images [eess.IV]; Machine Learning [stat.ML]; Applications [stat.AP]

E. Moscoso Thompson, C Tortorici, N Werghi, S Berretti, Santiago Velasco-Forero, et al.. SHREC'18 track: Retrieval of gray patterns depicted on 3D models. Eurographics Workshop on 3D Object Retrieval, 2018. ⟨hal-01774421⟩