Structural Shape Prototypes for the Automatic Classification of 3D Objects (Articolo in rivista)

Type
Label
  • Structural Shape Prototypes for the Automatic Classification of 3D Objects (Articolo in rivista) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/mcg.2007.89 (literal)
Alternative label
  • Marini S.; Spagnuolo M.; Falcidieno B. (2007)
    Structural Shape Prototypes for the Automatic Classification of 3D Objects
    in IEEE computer graphics and applications; IEEE Computer Society, Washington, DC (Stati Uniti d'America)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Marini S.; Spagnuolo M.; Falcidieno B. (literal)
Pagina inizio
  • 28 (literal)
Pagina fine
  • 37 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Special Section on 3D Documents (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4267944 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 27 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Special Issue: 3D Documents. Dieter W. Fellner, Dietmar Saup, Harold Krottmaier (eds.), IEEE 2007 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 4 (literal)
Note
  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto di Matematica Applicata e Tecnologie Informatiche - sezione di Genova (literal)
Titolo
  • Structural Shape Prototypes for the Automatic Classification of 3D Objects (literal)
Abstract
  • Search and retrieval of three-dimensional media will rapidly become a key issue in the upcoming panorama of multimedia content: 3D models are indeed expected to represent a huge amount of traffic and data stored in the Internet. This article proposes a novel technique to define and construct 3D shape prototypes, that improve the automatic classification of 3D content. The shape-prototype summarizes the most relevant features of the members of a class. The query object is then classified into the class represented by the prototype more similar to the given query. In the proposed methodology, each member of a class is represented by a structural descriptor encoded as an attributed graph. The prototype is obtained by applying graph-transformation techniques among the shape descriptors associated to the members of the class. The effectiveness of the classification process is finally evaluated on an heterogeneous benchmark of 3D objects. © 2007 IEEE. (literal)
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