Importance-driven focus of attention

Ivan Viola*, Miquel Feixas, Mateu Sbert, Meister Eduard Groller

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

134 Scopus citations

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.

Original languageEnglish
Pages (from-to)933-940
Number of pages8
JournalIEEE Transactions on Visualization and Computer Graphics
Volume12
Issue number5
DOIs
StatePublished - 2006
Externally publishedYes
EventIEEE Visualization Conference (Vis 2006)/IEEE Symposium on Information Visualization (InfoVis 2006) - Baltimore, Moldova, Republic of
Duration: Oct 29 2006Nov 3 2006

Keywords

  • illustrative visualization
  • volume visualization
  • interacting with volumetric clatasets
  • characteristic viewpoint estimation
  • focus plus context techniques

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