@inproceedings{e3ccce552f5348eca438e3aff1cce904,
title = "SHREC'18 track: Recognition of geometric patterns over 3D models",
abstract = "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.",
author = "S. Biasotti and \{Moscoso Thompson\}, E. and L. Barthe and S. Berretti and A. Giachetti and T. Lejemble and N. Mellado and K. Moustakas and Iason Manolas and Dimitrios Dimou and C. Tortorici and S. Velasco-Forero and N. Werghi and M. Polig and G. Sorrentino and S. Hermon",
note = "Funding Information: The work is developed within the research program of the “H2020” European project “GRAVITATE”, contract n. 665155, (2015-2018). This research was (partially) funded by the CIMI Labex (ANR-11-LABX-0040) Funding Information: Acknowledgements The work is developed within the research program of the “H2020” European project “GRAVITATE”, contract n. 665155, (2015-2018). This research was (partially) funded by the CIMI Labex (ANR-11-LABX-0040) Publisher Copyright: {\textcopyright} 2018 The Eurographics Association.; 11th Eurographics Workshop on 3D Object Retrieval, 3DOR 2018 ; Conference date: 16-04-2018",
year = "2018",
doi = "10.2312/3dor.20181055",
language = "British English",
series = "Eurographics Workshop on 3D Object Retrieval, EG 3DOR",
pages = "71--77",
booktitle = "EG 3DOR 2018 - Eurographics Workshop on 3D Object Retrieval",
}