http://www.cnr.it/ontology/cnr/individuo/prodotto/ID31032
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
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Oleg Polonsky; Giuseppe Patane'; Silvia Biasotti; Craig Gotsman; Michela Spagnuolo (literal)
- Pagina inizio
- Pagina fine
- 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
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
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- 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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