Visualizing scalar volumetric data with uncertainty

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. r 2002 Elsevier Science Ltd. All rights reserved.

• Type: Journal
• Year: 2002
• Where: CG
• Authors: Suzana Djurcilov, Kwansik Kim, Pierre Lermusiaux, Alex Pang
• Keywords: CG 2002, Computer Graphics, Inline Dvr Approach, Scalar Data, Uncertainty Information