SHREC’20 Track: Retrieval of digital surfaces with similar geometric reliefs

• Autores: Moscoso Thompson E., Biasotti S., Giachetti A., Tortorici C., Werghi N., Obeid A.S., Berretti S., Nguyen-Dinh H.-P., Le M.-Q., Nguyen H.-D., Tran M.-T., Gigli L., Velasco-Forero S., Marcotegui B., Sipiran I., Bustos B., Romanelis I., Fotis V., Arvanitis G., Moustakas K., Otu E., Zwiggelaar R., Hunter D., Liu Y., Arteaga Y., Luxman R.
• Formato: artículo
• Fecha de Publicación: 2020
• Institución: Consejo Nacional de Ciencia Tecnología e Innovación
• Repositorio: CONCYTEC-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.concytec.gob.pe:20.500.12390/2481
• Enlace del recurso: https://hdl.handle.net/20.500.12390/2481; https://doi.org/10.1016/j.cag.2020.07.011
• Nivel de acceso: acceso abierto
• Materia: Reliefs retrieval; 3D Models; Contest; http://purl.org/pe-repo/ocde/ford#2.02.06

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. © 2020 Elsevier Ltd