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Fast adaptive selection of best views

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10.1007/3-540-44842-X_31
 
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hdl:2117/10172

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Vázquez Alcocer, Pere PauMés informacióMés informacióMés informació
Sbert Cassasayas, Mateu
Document typeConference report
Defense date2003
Rights accessRestricted access - publisher's policy
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
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.
CitationVazquez, 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. 
URIhttp://hdl.handle.net/2117/10172
DOI10.1007/3-540-44842-X_31
ISBN978-3-540-40156-8
Publisher versionhttp://www.springerlink.com/content/dqxu9xhbtk47umxb/
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  • Departament de Ciències de la Computació - Ponències/Comunicacions de congressos [1.218]
  • MOVING - Grup de Recerca en Modelatge, Interacció i Visualització en Realitat Virtual - Ponències/Comunicacions de congressos [86]
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