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Dynamic Focus+Context for Volume Rendering

Peter Sikachev, Peter Rautek, Stefan Bruckner, M. Eduard Gröller

CONFERENCE PAPER: In Proceedings of VMV 2010, pp. 331–338, 2010. DOI: 10.2312/PE/VMV/VMV10/331-338

Abstract

Interactive visualization is widely used in many applications for efficient representation of complex data. Many techniques make use of the focus+context approach in a static manner. These techniques do not fully make use of the interaction semantics. In this paper we present a dynamic focus+context approach that highlights salient features during user interaction. We explore rotation, panning, and zooming interaction semantics and propose several methods of changing visual representations, based on a suggested engagement-estimation method. We use DVR-MIP interpolation and a radial opacity-change approach, exploring rotation, panning, and zooming semantics. Our approach adds short animations during user interaction that help to explore the data efficiently and aid the user in the detection of unknown features.

Published

Proceedings of VMV 2010

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BibTeX

@INPROCEEDINGS{Sikachev-2010-DFC,
  author = {Peter Sikachev and Peter Rautek and Stefan Bruckner and M. Eduard
	Gr{\"o}ller},
  title = {Dynamic Focus+Context for Volume Rendering},
  booktitle = {Proceedings of VMV 2010},
  year = {2010},
  pages = {331--338},
  address = {University of Siegen, Siegen, Germany},
  month = nov,
  abstract = {Interactive visualization is widely used in many applications for
	efficient representation of complex data. Many techniques make use
	of the focus+context approach in a static manner. These techniques
	do not fully make use of the interaction semantics. In this paper
	we present a dynamic focus+context approach that highlights salient
	features during user interaction. We explore rotation, panning, and
	zooming interaction semantics and propose several methods of changing
	visual representations, based on a suggested engagement-estimation
	method. We use DVR-MIP interpolation and a radial opacity-change
	approach, exploring rotation, panning, and zooming semantics. Our
	approach adds short animations during user interaction that help
	to explore the data efficiently and aid the user in the detection
	of unknown features.},
  doi = {10.2312/PE/VMV/VMV10/331-338},
  keywords = {focus+contex, volume rendering, view-dependent visualization, level-of-detail
	techniques, nonphotorealistic techniques, user interaction},
  location = {Siegen, Germany},
  url = {http://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-DFC/}
}






 Last Modified: Stefan Bruckner, 2014-08-15