SHREC'18 track: Recognition of geometric patterns over 3D models

Silvia Biasotti (1) , E. Moscoso Thompson (1) , Loic Barthe (2, 3) , Stefano Berretti (4) , Andrea Giachetti (5) , Thibault Lejemble (2) , Nicolas Mellado (2, 6) , Konstantinos Moustakas (7) , Iason Manolas (7) , Dimitrios Dimou (7) , Claudio Tortorici (8) , Santiago Velasco-Forero (9) , Naoufel Werghi (8) , Martina Polig (10) , Guisi Sorrentino (10) , Sorin Hermon (10)

1 IMATI - Istituto di Matematica Applicata e Tecnologie Informatiche
2 IRIT-STORM - Structural Models and Tools in Computer Graphics
3 UT3 - Université Toulouse III - Paul Sabatier
4 UniFI - Università degli Studi di Firenze = University of Florence = Université de Florence
5 UNIVR | DI - Department of Computer Science [Verona]
6 CNRS - Centre National de la Recherche Scientifique
7 University of Patras
8 Khalifa University
9 CMM - Centre de Morphologie Mathématique
10 CyI - Cyprus Institute

This track of the SHREC 2018 originally aimed at recognizing relief patterns over a set of triangle meshes from laser scan acquisitions of archaeological fragments. This track approaches a lively and very challenging problem that remains open after the end of the track. In this report we discuss the challenges to face to successfully address geometric pattern recognition over surfaces; how the existing techniques can go further in this direction, what is currently missing and what is necessary to be further developed.

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

Silvia Biasotti, E. Moscoso Thompson, Loic Barthe, Stefano Berretti, Andrea Giachetti, et al.. SHREC'18 track: Recognition of geometric patterns over 3D models. Eurographics Workshop on 3D Object Retrieval (3DOR 2018), The Eurographics Association, Apr 2018, Delft, Netherlands. ⟨10.2312/3dor.20181055⟩. ⟨hal-01774423⟩