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Data-Sensitive Visual Navigation

Peter Mindek, Gabriel Mistelbauer, M. Eduard Gröller, Stefan Bruckner

JOURNAL ARTICLE: Computers & Graphics, vol. 67, pp. 77–85, 2017. SCCG 2017 Best Paper Award. DOI: 10.1016/j.cag.2017.05.012

Abstract

In visualization systems it is often the case that the changes of the input parameters are not proportional to the visual change of the generated output. In this paper, we propose a model for enabling data-sensitive navigation for user-interface elements. This model is applied to normalize the user input according to the visual change, and also to visually communicate this normalization. In this way, the exploration of heterogeneous data using common interaction elements can be performed in an efficient way. We apply our model to the field of medical visualization and present guided navigation tools for traversing vascular structures and for camera rotation around 3D volumes. The presented examples demonstrate that the model scales to user-interface elements where multiple parameters are set simultaneously.

Published

Computers & Graphics

  • Volume: 67
  • Pages: 77–85
  • Event: SCCG 2017
  • Location: Mikulov, Czech Republic
  • Date: October 2017
  • DOI: 10.1016/j.cag.2017.05.012
  • Note: SCCG 2017 Best Paper Award

Documents and Links

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BibTeX

@ARTICLE{Mindek-2017-DVN,
  author = {Peter Mindek, Gabriel Mistelbauer, M. Eduard Gr{\"o}ller and Stefan Bruckner},
  title = {Data-Sensitive Visual Navigation},
  journal = {Computers \& Graphics},
  year = {2017},
  month = oct,
  volume = {67},
  pages = {77--85},
abstract = {In visualization systems it is often the case that the
changes of the input parameters are not proportional to the visual
change of the generated output. In this paper, we propose a model for
enabling data-sensitive navigation for user-interface elements. This
model is applied to normalize the user input according to the visual
change, and also to visually communicate this normalization. In this
way, the exploration of heterogeneous data using common interaction
elements can be performed in an efficient way. We apply our model to the
field of medical visualization and present guided navigation tools for
traversing vascular structures and for camera rotation around 3D
volumes. The presented examples demonstrate that the model scales to
user-interface elements where multiple parameters are set
simultaneously.},
  event = {SCCG 2017},
  doi = {10.1016/j.cag.2017.05.012},
  keywords = {navigation, exploration, medical visualization},
  location = {Mikulov, Czech Republic},
  note = {SCCG 2017 Best Paper Award}
}






 Last Modified: Stefan Bruckner, 2017-10-13