Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

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

Articolo
Data di Pubblicazione:
2020
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Contest; 3D Models; Reliefs retrieval
Elenco autori:
MOSCOSO THOMPSON, Elia; Biasotti, SILVIA MARIA
Autori di Ateneo:
BIASOTTI SILVIA MARIA
MOSCOSO THOMPSON ELIA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/406988
Pubblicato in:
COMPUTERS & GRAPHICS
Journal
  • Dati Generali

Dati Generali

URL

https://www.sciencedirect.com/science/article/pii/S0097849320301138?via%3Dihub
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)