Suzana Djurcilov and Kwansik Kim and Pierre Lermusiaux and Alex Pang.
Visualizing Scalar Volumetric Data with Uncertainty.
In Computers and Graphics, vol. 26, pp. 239--248, 2002.

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Abstract:

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 method involves incorporating the uncertainty information directly into the volume rendering equation. The second method involves post-processing information of volume rendered images to composite uncertainty information. Here, we provide further improvements to those techniques primarily by showing the depth cues for the uncertainty, and also better transfer function selections.

Bibtex:

@Article{        djurcilov:2002:VSVU,
  author = 	 {Suzana Djurcilov and Kwansik Kim and Pierre
                  Lermusiaux and Alex Pang},
  title = 	 {Visualizing Scalar Volumetric Data with Uncertainty},
  journal = 	 {Computers and Graphics},
  year = 	 {2002},
  volume = 	 {26},
  pages = 	 {239--248},
}

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References:

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