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Viewpoint selection using viewpoint entropy

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Vázquez Alcocer, Pere PauMés informacióMés informacióMés informació
Feixas, Miquel
Sbert Cassasayas, Mateu
Heidrich, Wolfgang
Document typeConference report
Defense date2001
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
Computation of good viewpoints is important in several fields: computational geometry, visual servoing, robot motion, graph drawing, etc. In addition, selection of good views is rapidly becoming a key issue in computer graphics due to the new techniques of Image Based Rendering. Although there is no consensus about what a good view means in Computer Graphics, the quality of a viewpoint is intuitively related to how much information it gives us about a scene. In this paper we use the theoretical basis provided by Information Theory to define a new measure, viewpoint entropy, that allows us to compute good viewing positions automatically. We also show how it can be used to select a set of N good views of a scene for scene understanding. Finally, we design an algorithm that uses this measure to explore automatically objects or scenes.
CitationVázquez, P. [et al.]. Viewpoint selection using viewpoint entropy. A: International Fall Workshop on Vision, Modeling, and Visualization. "6th International Fall Workshop on Vision, Modeling, and Visualization". Stuttgart: 2001, p. 273-280. 
URIhttp://hdl.handle.net/2117/10236
Publisher versionhttp://www.vis.uni-stuttgart.de/vmv01/dl/
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  • Departament de Ciències de la Computació - Ponències/Comunicacions de congressos [1.219]
  • MOVING - Grup de Recerca en Modelatge, Interacció i Visualització en Realitat Virtual - Ponències/Comunicacions de congressos [86]
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