A computer-assisted constraint-based system for assembling fragmented objects (Contributo in atti di convegno)

Type
Label
  • A computer-assisted constraint-based system for assembling fragmented objects (Contributo in atti di convegno) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Alternative label
  • Palmas G., Pietroni N., Cignoni P., Scopigno R. (2013)
    A computer-assisted constraint-based system for assembling fragmented objects
    in DH 2013 - Digital Heritage International Congress, Marseille, France, 28/10 - 01/11 2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Palmas G., Pietroni N., Cignoni P., Scopigno R. (literal)
Pagina inizio
  • 100 (literal)
Pagina fine
  • 108 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • progetto 3D-COFORM - Tools and Expertise for 3D Collection Formation grant agreement 231809 (literal)
Note
  • Scopu (literal)
  • PuMa (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Max-Planck-Institut für Informatik, Saarbrücken; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy. (literal)
Titolo
  • A computer-assisted constraint-based system for assembling fragmented objects (literal)
Abstract
  • We propose a computer-assisted constraint-based methodology for virtual reassembly of Cultural Heritage (CH) artworks. Instead than focusing on automatic, unassisted reassembly, we targeted the scenarios where the reconstruction process is not be based on shape properties only but it is build over the experience and intuition of a CH expert. Our purpose is therefore to design a flexible interactive system, based on the selection of a set of constraints which relates different fragments, according to the understanding and experience of the CH operator. Once the user has defined those constraints, the system searches for a suitable solution, using a global energy minimization strategy that considers simultaneously all the pieces involved in the reconstruction process. Additionally, our framework provides the possibility to work in a hierarchical way, mimicking the traditional physical procedure that archaeologists use to reassemble tangible fractured objects. The frameworks is designed to work even with fragments that could have been severely damaged or eroded. On those datasets, automatic approaches may often fail, since the fractured regions do not contain enough geometric information to infer the correct matches. We present some successful uses of our framework on real application scenarios. (literal)
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