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Issue No. 05 - September-October (2006 vol. 12)
ISSN: 1077-2626
pp: 933-940
Ivan Viola , IEEE
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.}
Illustrative visualization, volume visualization, interacting with volumetric datasets, characteristic viewpoint estimation, focus+context techniques
Miquel Feixas, Mateu Sbert, Ivan Viola, Meister Eduard Gröller, "Importance-Driven Focus of Attention", IEEE Transactions on Visualization & Computer Graphics, vol. 12, no. , pp. 933-940, September-October 2006, doi:10.1109/TVCG.2006.152
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