Grouping real functions defined on 3D surfaces (Articolo in rivista)

Type
Label
  • Grouping real functions defined on 3D surfaces (Articolo in rivista) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.cag.2013.05.007 (literal)
Alternative label
  • Silvia Biasotti, Michela Spagnuolo,Bianca Falcidieno (2013)
    Grouping real functions defined on 3D surfaces
    in Computers & graphics; Elsevier Ltd, Oxford (Regno Unito)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Silvia Biasotti, Michela Spagnuolo,Bianca Falcidieno (literal)
Pagina inizio
  • 608 (literal)
Pagina fine
  • 619 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • First published on line: 6 June 2013 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.sciencedirect.com/science/article/pii/S0097849313000812 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 37 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 6 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Consiglio Nazionale delle Ricerche, Italy (literal)
Titolo
  • Grouping real functions defined on 3D surfaces (literal)
Abstract
  • Scalar functions are widely used to support shape analysis and description. Their role is to sift the most significant shape information and to discard the irrelevant one, acting as a filter for the characteristics that will contribute to the description. Unfortunately, a single property, or function, is not sufficient to characterize a shape and there is not a method to automatically select the functions that better describe a 3D object. Given a set of scalar functions defined on the same object, in this paper we propose a practical approach to automatically group these functions and select a subset of functions that are as much as possible independent of each other. Experiments are exhibited for several datasets to show the suitability of the method to improve and simplify shape analysis and classification issues. (literal)
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