Visualizing scalar volumetric data with uncertainty

@article{Djurcilov2002VisualizingSV,
  title={Visualizing scalar volumetric data with uncertainty},
  author={Suzana Djurcilov and Kwansik Kim and Pierre F. J. Lermusiaux and Alex T. Pang},
  journal={Computers & Graphics},
  year={2002},
  volume={26},
  pages={239-248}
}
Increasingly, more importance is placed on the uncertainty information of data being displayed. This paper focuses on techniques for visualizing 3D scalar data sets with corresponding uncertainty information at each point which is also represented as a scalar value. In Djurcilov (in: D. Ebert, J.M. Favre, R. Peikert (Eds.), Data Visualization 2001, Springer, Berlin, 2001), we presented two general methods (inline DVR approach and a post-processing approach) for carrying out this task. The first… CONTINUE READING
77 Extracted Citations
18 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 77 extracted citations

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 18 references

Quantifying spatial uncertainty in natural resources: theory and applications for GIS and Remote Sensing

  • HT Mowrer, Congalton R editors
  • Ann Arbor, MI: Ann Arbor Press,
  • 2000

Data assimilation via error subspace statistical estimation, Part ii: middle Atlantic Bight shelfbreak front simulations and ESSE validation

  • P. Lermusiaux
  • Monthly Weather Review
  • 1999
1 Excerpt

The proposed standard for digital cartographic data : report of the digital cartographic data standards task force

  • H Moellering
  • The American Cartographer
  • 1999

Uncertainty-based information: elements of generalized information theory, 2nd ed

  • G Klir, M. Wierman
  • Wurzburg: Physica-Verlag,
  • 1999

Similar Papers

Loading similar papers…