This SHREC 2025 track focuses on the recognition and segmentation of relief patterns embedded on the surface of a novel set of synthetically generated triangle meshes. Although the track garnered considerable interest, the problem remains open at the end of the track. In this report, we introduce a new 3D benchmark which was published to assess the performance of the most recent relief pattern recognition algorithms. We discuss the limitations of current techniques; the intrinsic challenges to face to address relief pattern analysis, and potential future research directions in this field.

SHREC'25 track: Retrieval and Segmentation of Multiple Relief Patterns / Gabriele Paolini; Claudio Tortorici; Stefano Berretti. - ELETTRONICO. - (2025), pp. 1-8. (Intervento presentato al convegno Eurographics Workshop on 3D Object Retrieval tenutosi a London, UK nel 4-5 September , 2025) [10.2312/3dor.20251202].

SHREC'25 track: Retrieval and Segmentation of Multiple Relief Patterns

Gabriele Paolini;Stefano Berretti
2025

Abstract

This SHREC 2025 track focuses on the recognition and segmentation of relief patterns embedded on the surface of a novel set of synthetically generated triangle meshes. Although the track garnered considerable interest, the problem remains open at the end of the track. In this report, we introduce a new 3D benchmark which was published to assess the performance of the most recent relief pattern recognition algorithms. We discuss the limitations of current techniques; the intrinsic challenges to face to address relief pattern analysis, and potential future research directions in this field.
2025
Eurographics Workshop on 3D Object Retrieval
Eurographics Workshop on 3D Object Retrieval
London, UK
4-5 September , 2025
Goal 9: Industry, Innovation, and Infrastructure
Gabriele Paolini; Claudio Tortorici; Stefano Berretti
File in questo prodotto:
File Dimensione Formato  
3dor2025.pdf

Accesso chiuso

Tipologia: Pdf editoriale (Version of record)
Licenza: Tutti i diritti riservati
Dimensione 8.68 MB
Formato Adobe PDF
8.68 MB Adobe PDF   Richiedi una copia

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

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1436383
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact