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Interactive Illustrative Visualization of Hierarchical Volume Data

Jean-Paul Balabanian, Ivan Viola, M. Eduard Gröller

INPROCEEDINGS, Proceedings of Graphics Interface (best student paper award), 2010

Abstract

In scientific visualization the underlying data often has an inherent abstract and hierarchical structure. Therefore, the same dataset can simultaneously be studied with respect to its characteristics in the three-dimensional space and in the hierarchy space. Often both characteristics are equally important to convey. For such scenarios we explore the combination of hierarchy visualization and scientific visualization, where both data spaces are effectively integrated. We have been inspired by illustrations of species evolutions where hierarchical information is often present. Motivated by these traditional illustrations, we introduce integrated visualizations for hierarchically organized volumetric datasets. The hierarchy data is displayed as a graph, whose nodes are visually augmented to depict the corresponding 3D information. These augmentations include images due to volume raycasting, slicing of 3D structures, and indicators of structure visibility from occlusion testing. New interaction metaphors are presented that extend visualizations and interactions, typical for one visualization space, to control visualization parameters of the other space. Interaction on a node in the hierarchy influences visual representations of 3D structures and vice versa. We integrate both the abstract and the scientific visualizations into one view which avoids frequent refocusing typical for interaction with linked-view layouts. We demonstrate our approach on different volumetric datasets enhanced with hierarchical information.

Published

Proceedings of Graphics Interface (best student paper award)

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BibTeX

@inproceedings{balabanian10hierarchical,
  title = "Interactive Illustrative Visualization of Hierarchical Volume Data",
  author = "Jean-Paul Balabanian and Ivan Viola and M. Eduard Gr{\"o}ller",
  year = "2010",
  booktitle = {Proceedings of Graphics Interface (best student paper award)},
  abstract = {In scientific visualization the underlying data often has an 
inherent abstract and hierarchical structure. Therefore, the same dataset
can simultaneously be studied with respect to its characteristics in
the three-dimensional space and in the hierarchy space. Often both
characteristics are equally important to convey. For such scenarios
we explore the combination of hierarchy visualization and scientific
visualization, where both data spaces are effectively integrated. We 
have been inspired by illustrations of species evolutions where 
hierarchical information is often present. Motivated by these traditional
illustrations, we introduce integrated visualizations for hierarchically
organized volumetric datasets. The hierarchy data is displayed as a graph, 
whose nodes are visually augmented to depict the corresponding 3D information. 
These augmentations include images due to volume raycasting, slicing of 
3D structures, and indicators of structure visibility from occlusion testing. 
New interaction metaphors are presented that extend visualizations and 
interactions, typical for one visualization space, to control visualization 
parameters of the other space. Interaction on a node in the hierarchy 
influences visual representations of 3D structures and vice versa. We
integrate both the abstract and the scientific visualizations into one
view which avoids frequent refocusing typical for interaction with
linked-view layouts. We demonstrate our approach on different volumetric
datasets enhanced with hierarchical information.},
  pages = {xx--xx}, 
  location = {Ottawa, Canada},



  URL = {http://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/},

}






 Last Modified: Jean-Paul Balabanian, 2014-04-09