What’'s in an Image? Towards the Computation of the \"“Best\"” View of an Object (Articolo in rivista)

Type
Label
  • What’'s in an Image? Towards the Computation of the \"“Best\"” View of an Object (Articolo in rivista) (literal)
Anno
  • 2005-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/s00371-005-0326-y (literal)
Alternative label
  • Oleg Polonsky; Giuseppe Patane'; Silvia Biasotti; Craig Gotsman; Michela Spagnuolo (2005)
    What’'s in an Image? Towards the Computation of the "“Best"” View of an Object
    in The visual computer; Springer Berlin / Heildelberg, Berlin (Germania)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Oleg Polonsky; Giuseppe Patane'; Silvia Biasotti; Craig Gotsman; Michela Spagnuolo (literal)
Pagina inizio
  • 840 (literal)
Pagina fine
  • 847 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Special Issue: Pacific Graphics 2005, Thirtheenth Pacific Conference on Computer Graphics and Applications (12-14 October 2005, Macao, China). (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.springerlink.com/content/w581v87m820680q3/ (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 21 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 8-10 (literal)
Note
  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Oleg Polonsky Technion - Israel Institute of Technology Giuseppe Patane' IMATI/CNR Genova Silvia Biasotti IMATI/CNR Genova Craig Gotsman Technion - Israel Institute of Technology Michela Spagnuolo IMATI/CNR Genova (literal)
Titolo
  • What’'s in an Image? Towards the Computation of the \"“Best\"” View of an Object (literal)
Abstract
  • There are many possible 2D views of a given 3D object and most people would agree that some views are more aesthetic and/or more \"informative\" than others. Thus, it would be very useful, in many applications, to be able to automatically compute these \"best\" views. Although all measures of the quality of a view will ultimately be subjective, hence difficult to quantify, we propose some general principles which may be used to address this challenge. In particular, we describe a number of different ways to measure the goodness of a view, and show how to optimize these measures by reducing the size of the search space. (literal)
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