@article{TBG+20,
title = "SHREC’20 Track: Retrieval of digital surfaces with similar geometric reliefs",
journal = "Computers & Graphics",
volume = "91",
pages = "199 - 218",
year = "2020",
issn = "0097-8493",
doi = "https://doi.org/10.1016/j.cag.2020.07.011",
url = "http://www.sciencedirect.com/science/article/pii/S0097849320301138",
author = "Elia {Moscoso Thompson} and Silvia Biasotti and Andrea Giachetti and Claudio Tortorici and Naoufel Werghi and Ahmad Shaker Obeid and Stefano Berretti and Hoang-Phuc Nguyen-Dinh and Minh-Quan Le and Hai-Dang Nguyen and Minh-Triet Tran and Leonardo Gigli and Santiago Velasco-Forero and Beatriz Marcotegui and Ivan Sipiran and Benjamin Bustos and Ioannis Romanelis and Vlassis Fotis and Gerasimos Arvanitis and Konstantinos Moustakas and Ekpo Otu and Reyer Zwiggelaar and David Hunter and Yonghuai Liu and Yoko Arteaga and Ramamoorthy Luxman",
keywords = "Contest, 3D Models, Reliefs retrieval",
abstract = "This paper presents the methods that have participated in the SHREC’20 contest on retrieval of surface patches with similar geometric reliefs and the analysis of their performance over the benchmark created for this challenge. The goal of the context is to verify the possibility of retrieving 3D models only based on the reliefs that are present on their surface and to compare methods that are suitable for this task. This problem is related to many real world applications, such as the classification of cultural heritage goods or the analysis of different materials. To address this challenge, it is necessary to characterize the local ”geometric pattern” information, possibly forgetting model size and bending. Seven groups participated in this contest and twenty runs were submitted for evaluation. The performances of the methods reveal that good results are achieved with a number of techniques that use different approaches."
}