In this paper we target the problem of the retrieval of colour patterns over surfaces. We generalize to surface tessellations the well known Local Binary Pattern (LBP) descriptor for images. The key concept of the LBP is to code the variability of the colour values around each pixel. In the case of a surface tessellation we adopt rings around vertices that are obtained with a sphere-mesh intersection driven by the edges of the mesh; for this reason, we name our method edgeLBP. Experimental results are provided to show how this description performs well for pattern retrieval, also when patterns come from degraded and corrupted archaeological fragments.

Edge-based LBP description of surfaces with colorimetric patterns

E Moscoso Thompson;S Biasotti
2018

Abstract

In this paper we target the problem of the retrieval of colour patterns over surfaces. We generalize to surface tessellations the well known Local Binary Pattern (LBP) descriptor for images. The key concept of the LBP is to code the variability of the colour values around each pixel. In the case of a surface tessellation we adopt rings around vertices that are obtained with a sphere-mesh intersection driven by the edges of the mesh; for this reason, we name our method edgeLBP. Experimental results are provided to show how this description performs well for pattern retrieval, also when patterns come from degraded and corrupted archaeological fragments.
2018
Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI -
978-3-03868-053-6
Computer Graphics : Methodology and Techniques-- Information storage and retrieval : Information search and Retrieval
File in questo prodotto:
File Dimensione Formato  
prod_387166-doc_133138.pdf

solo utenti autorizzati

Descrizione: EG 3DOR 2018 Eurographics Workshop on 3D Object Retrieval
Tipologia: Versione Editoriale (PDF)
Dimensione 99.39 kB
Formato Adobe PDF
99.39 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
prod_387166-doc_133139.pdf

non disponibili

Descrizione: Edge-based LBP description of surfaces with colorimetric patterns
Tipologia: Versione Editoriale (PDF)
Dimensione 4.96 MB
Formato Adobe PDF
4.96 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/376206
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 7
  • ???jsp.display-item.citation.isi??? ND
social impact