TY - JOUR
T1 - SHREC’20 Track
T2 - Retrieval of digital surfaces with similar geometric reliefs
AU - Moscoso Thompson, Elia
AU - Biasotti, Silvia
AU - Giachetti, Andrea
AU - Tortorici, Claudio
AU - Werghi, Naoufel
AU - Obeid, Ahmad Shaker
AU - Berretti, Stefano
AU - Nguyen-Dinh, Hoang Phuc
AU - Le, Minh Quan
AU - Nguyen, Hai Dang
AU - Tran, Minh Triet
AU - Gigli, Leonardo
AU - Velasco-Forero, Santiago
AU - Marcotegui, Beatriz
AU - Sipiran, Ivan
AU - Bustos, Benjamin
AU - Romanelis, Ioannis
AU - Fotis, Vlassis
AU - Arvanitis, Gerasimos
AU - Moustakas, Konstantinos
AU - Otu, Ekpo
AU - Zwiggelaar, Reyer
AU - Hunter, David
AU - Liu, Yonghuai
AU - Arteaga, Yoko
AU - Luxman, Ramamoorthy
N1 - Funding Information:
The authors thank the 3DOR 2020 Workshop and Program Chairs for helping us in the organization of our contest despite the current COVID-19 pandemic. We also thank the anonymous reviewers for providing constructive comments on earlier drafts of the manuscript, which helped us to improve and clarify this work. This study was partially supported by the CNR-IMATI projects DIT.AD004.100 and DIT.AD021.080.001. Research for the team from University of Science, Ho Chi Minh city, Vietnam is supported by Vingroup Innovation Foundation (VINIF) in project code VINIF.2019.DA19. The team Y. Arteaga and R. Luxman research is funded by the Horizon 2020 programme of the European Union Grant #813789. The work of Ivan Sipiran has been supported by Proyecto de Mejoramiento y Ampliacin de los Servicios del Sistema Nacional de Ciencia Tecnologȡa e Innovacin Tecnolgica(Banco Mundial, Concytec), Nro. grant 062-2018-FONDECYT-BM-IADT-AV. The work of Benjamin Bustos is funded by the Millennium Institute Foundational Research on Data (IMFD).
Funding Information:
This study was partially supported by the CNR-IMATI projects DIT.AD004.100 and DIT.AD021.080.001. Research for the team from University of Science, Ho Chi Minh city, Vietnam is supported by Vingroup Innovation Foundation (VINIF) in project code VINIF.2019.DA19. The team Y. Arteaga and R. Luxman research is funded by the Horizon 2020 programme of the European Union Grant . The work of Ivan Sipiran has been supported by Proyecto de Mejoramiento y Ampliacin de los Servicios del Sistema Nacional de Ciencia Tecnologȡa e Innovacin Tecnolgica(Banco Mundial, Concytec), Nro. grant 062-2018-FONDECYT-BM-IADT-AV. The work of Benjamin Bustos is funded by the Millennium Institute Foundational Research on Data (IMFD).
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/10/1
Y1 - 2020/10/1
N2 - 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.
AB - 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.
KW - 3D Models
KW - Contest
KW - Reliefs retrieval
UR - http://www.scopus.com/inward/record.url?scp=85089440088&partnerID=8YFLogxK
U2 - 10.1016/j.cag.2020.07.011
DO - 10.1016/j.cag.2020.07.011
M3 - Article
AN - SCOPUS:85089440088
SN - 0097-8493
VL - 91
SP - 199
EP - 218
JO - Computers and Graphics (Pergamon)
JF - Computers and Graphics (Pergamon)
ER -