Title: Viewpoint Entropy-Driven Simplification
Authors: Castelló, P.
Sbert, M.
Chover, M.
Feixas, M.
Citation: WSCG '2007: Full Papers Proceedings: The 15th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2007 in co-operation with EUROGRAPHICS: University of West Bohemia Plzen Czech Republic, January 29 – February 1, 2007, p. 249-256.
Issue Date: 2007
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/wscg2007/Papers_2007/full/!WSCG2007_Full_Proceedings_Final-1.zip
ISBN: 978-80-86943-98-5
Keywords: simplifikace;míra detailu;výběr pohledu;teorie informace
Keywords in different language: simplification;level of detail;viewpoint selection;information theory
Abstract: In this paper, a new viewpoint-based simplification approach is proposed for polygonal meshes. This approach is driven by an information-theoretic metric, viewpoint entropy, which measures the amount of information from a scene or object that arrives at a certain viewpoint. Our algorithm applies the best half-edge collapse as a decimation criterion and uses the variation of viewpoint entropy to measure the edge collapse error. Compared to pure geometric-based simplifications, the models produced by our method are closer to the original model according to visual similarity. Our approach also achieves a higher simplification in hidden interiors, by being able to remove them all and to leave the visible areas of the mesh intact. Models generated by CAD applications can benefit from this feature, since these models are usually constructed by assembling smaller objects which can become partially hidden during joining operations. The main application of our method is for video games where models come from CAD applications and are geometrically not very complex, a few thousand polygons at the most, and in which visual similarity is the most important requirement.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2007: Full Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/11017

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