Ítem
Ministerio de Ciencia e Innovación (Espanya)
Generalitat de Catalunya. Agència de Gestió d’Ajuts Universitaris i de Recerca |
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Ruiz Altisent, Marc
Bardera i Reig, Antoni Boada, Imma Viola, Ivan Feixas Feixas, Miquel Sbert, Mateu |
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5 juny 2018 | |
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 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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http://hdl.handle.net/2072/320997 | |
eng | |
Institute of Electrical and Electronics Engineers (IEEE) | |
Tots els drets reservats | |
Informació, Teoria de la
Information theory Infografia Computer graphics Visualització (Informàtica) Information display systems |
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Automatic transfer functions based on informational divergence | |
info:eu-repo/semantics/article | |
Recercat |