Importance-Driven Focus of Attention
Inhaltsverzeichnis
Reference
Ivan Viola , Miquel Feixas , Mateu Sbert , Meister Eduard Gröller: Importance-Driven Focus of Attention. IEEE Transactions on Visualization and Computer Graphics archive Volume 12 Issue 5, September 2006 Pages 933-940
DOI
http://dx.doi.org/10.1109/TVCG.2006.152
Abstract
This paper introduces a concept for automatic focusing on features within a volumetric data set. The user selects a focus, i.e., object of interest, from a set of pre-defined features. Our system automatically determines the most expressive view on this feature. A characteristic viewpoint is estimated by a novel information-theoretic framework which is based on the mutual information measure. Viewpoints change smoothly by switching the focus from one feature to another one. This mechanism is controlled by changes in the importance distribution among features in the volume. The highest importance is assigned to the feature in focus. Apart from viewpoint selection, the focusing mechanism also steers visual emphasis by assigning a visually more prominent representation. To allow a clear view on features that are normally occluded by other parts of the volume, the focusing for example incorporates cut-away views.}
Extended Abstract
Bibtex
Used References
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Links
Full Text
http://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-pdf.pdf
Sonstige Links
http://dl.acm.org/citation.cfm?id=1187627.1187810&coll=DL&dl=GUIDE&CFID=588525319&CFTOKEN=29804931
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.67.5983
Link to: Ivan Viola: Importance-Driven Focus of Attention. In: Computational Aesthetics 2006.
