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Title:
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Automatic transfer functions based on informational divergence
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Author:
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Ruiz Altisent, Marc; Bardera i Reig, Antoni; Boada, Imma; Viola, Ivan; Feixas Feixas, Miquel; Sbert, Mateu
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Other authors:
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Ministerio de Ciencia e Innovación (Espanya); Generalitat de Catalunya. Agència de Gestió d'Ajuts Universitaris i de Recerca |
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Abstract:
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In this paper we present a framework to define transfer functions from a target distribution provided by the user. A target distribution can reflect the data importance, or highly relevant data value interval, or spatial segmentation. Our approach is based on a communication channel between a set of viewpoints and a set of bins of a volume data set, and it supports 1D as well as 2D transfer functions including the gradient information. The transfer functions are obtained by minimizing the informational divergence or Kullback-Leibler distance between the visibility distribution captured by the viewpoints and a target distribution selected by the user. The use of the derivative of the informational divergence allows for a fast optimization process. Different target distributions for 1D and 2D transfer functions are analyzed together with importance-driven and view-based techniques |
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Abstract:
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This work was supported in part by Grant Numbers TIN2010-21089-C03-01 from the Spanish Government and 2009-SGR-643 from the Catalan Government, by the VERDIKT program (# 193170) of the Norwegian Research Council, and by the strategic funding for the MedViz research network (# 911597 P11) obtained from Helse Vest |
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Subject(s):
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-Informació, Teoria de la
-Information theory
-Infografia
-Computer graphics
-Visualització (Informàtica)
-Information display systems |
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Rights:
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Tots els drets reservats
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Document type:
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Article
Article - Accepted version |
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Published by:
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Institute of Electrical and Electronics Engineers (IEEE)
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