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Fast adaptive selection of best views
dc.contributor.author | Vázquez Alcocer, Pere Pau |
dc.contributor.author | Sbert Cassasayas, Mateu |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics |
dc.date.accessioned | 2010-11-08T12:51:26Z |
dc.date.available | 2010-11-08T12:51:26Z |
dc.date.created | 2003 |
dc.date.issued | 2003 |
dc.identifier.citation | Vazquez, P.; Sbert, M. Fast adaptive selection of best views. A: International Conference on Computational Science and its Applications. "International Conference on Computational Science and its Applications 2003". Montreal: 2003, p. 295-305. |
dc.identifier.isbn | 978-3-540-40156-8 |
dc.identifier.uri | http://hdl.handle.net/2117/10172 |
dc.description.abstract | Automatic computation of best views of objects is very useful. For example, they can be used as the starting point of a scene exploration, or to enrich galleries of objects available through Internet by adding an image a model that may help to decide if it is worth downloading. To select the most interesting viewpoint of an object, we use the so-called viewpoint entropy. The best view is the one which gives the most information of the object being inspected. In this paper we present an adaptive method to compute best views. Our adaptive scheme allows to improve over previous approaches the time of the selection of best views by an order of magnitude, and achieve a nearly interactive rate. |
dc.format.extent | 11 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Infografia |
dc.subject.lcsh | Three-dimensional imaging |
dc.subject.other | Computational geometry |
dc.subject.other | Computer vision |
dc.subject.other | Data visualisation |
dc.subject.other | Lighting |
dc.subject.other | Maximum entropy methods |
dc.subject.other | Object recognition |
dc.title | Fast adaptive selection of best views |
dc.type | Conference report |
dc.subject.lemac | Geometria computacional |
dc.subject.lemac | Reconeixement de formes (Informàtica) |
dc.subject.lemac | Visió per ordinador |
dc.contributor.group | Universitat Politècnica de Catalunya. MOVING - Grup de Recerca en Modelatge, Interacció i Visualització en Realitat Virtual |
dc.identifier.doi | 10.1007/3-540-44842-X_31 |
dc.relation.publisherversion | http://www.springerlink.com/content/dqxu9xhbtk47umxb/ |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 2396915 |
dc.description.version | Postprint (published version) |
local.citation.author | Vazquez, P.; Sbert, M. |
local.citation.contributor | International Conference on Computational Science and its Applications |
local.citation.pubplace | Montreal |
local.citation.publicationName | International Conference on Computational Science and its Applications 2003 |
local.citation.startingPage | 295 |
local.citation.endingPage | 305 |