Interactive Illustrative Visualization of Hierarchical Volume Data
Abstract
In scientific visualization the underlying data often has an inherent abstract and hierarchical structure. Therefore, the same datasetcan simultaneously be studied with respect to its characteristics inthe three-dimensional space and in the hierarchy space. Often bothcharacteristics are equally important to convey. For such scenarioswe explore the combination of hierarchy visualization and scientificvisualization, 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 traditionalillustrations, we introduce integrated visualizations for hierarchicallyorganized 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. Weintegrate both the abstract and the scientific visualizations into oneview which avoids frequent refocusing typical for interaction withlinked-view layouts. We demonstrate our approach on different volumetricdatasets enhanced with hierarchical information.
J. Balabanian, I. Viola, and M. E. Gröller, "Interactive Illustrative Visualization of Hierarchical Volume Data," in Proceedings of Graphics Interface (best student paper award), 2010, p. xx–xx.
[BibTeX]
In scientific visualization the underlying data often has an inherent abstract and hierarchical structure. Therefore, the same datasetcan simultaneously be studied with respect to its characteristics inthe three-dimensional space and in the hierarchy space. Often bothcharacteristics are equally important to convey. For such scenarioswe explore the combination of hierarchy visualization and scientificvisualization, 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 traditionalillustrations, we introduce integrated visualizations for hierarchicallyorganized 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. Weintegrate both the abstract and the scientific visualizations into oneview which avoids frequent refocusing typical for interaction withlinked-view layouts. We demonstrate our approach on different volumetricdatasets enhanced with hierarchical information.
@INPROCEEDINGS {balabanian10hierarchical,
author = "Jean-Paul Balabanian and Ivan Viola and Meister Eduard Gr{\"o}ller",
title = "Interactive Illustrative Visualization of Hierarchical Volume Data",
booktitle = "Proceedings of Graphics Interface (best student paper award)",
year = "2010",
pages = "xx--xx",
abstract = "In scientific visualization the underlying data often has an inherent abstract and hierarchical structure. Therefore, the same datasetcan simultaneously be studied with respect to its characteristics inthe three-dimensional space and in the hierarchy space. Often bothcharacteristics are equally important to convey. For such scenarioswe explore the combination of hierarchy visualization and scientificvisualization, 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 traditionalillustrations, we introduce integrated visualizations for hierarchicallyorganized 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. Weintegrate both the abstract and the scientific visualizations into oneview which avoids frequent refocusing typical for interaction withlinked-view layouts. We demonstrate our approach on different volumetricdatasets enhanced with hierarchical information.",
vid = "vids/balabanian10hierarchical.mp4",
images = "images/balabanian09thesis1.jpg, images/balabanian10hierarchical2.jpg, images/balabanian10hierarchical1.jpg, images/balabanian10hierarchical3.jpg",
thumbnails = "images/balabanian09thesis1_thumb.jpg, images/balabanian10hierarchical2_thumb.jpg, images/balabanian10hierarchical1_thumb.jpg, images/balabanian10hierarchical3_thumb.jpg",
location = "Ottawa, Canada",
url = "//www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/",
project = "medviz,illvis"
}