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research-article

Feature-Driven Data Exploration for Volumetric Rendering

Published: 01 October 2012 Publication History

Abstract

We have developed an intuitive method to semiautomatically explore volumetric data in a focus-region-guided or value-driven way using a user-defined ray through the 3D volume and contour lines in the region of interest. After selecting a point of interest from a 2D perspective, which defines a ray through the 3D volume, our method provides analytical tools to assist in narrowing the region of interest to a desired set of features. Feature layers are identified in a 1D scalar value profile with the ray and are used to define default rendering parameters, such as color and opacity mappings, and locate the center of the region of interest. Contour lines are generated based on the feature layer level sets within interactively selected slices of the focus region. Finally, we utilize feature-preserving filters and demonstrate the applicability of our scheme to noisy data.

Cited By

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  • (2019)Feature Flow AnimationProceedings of the 12th International Symposium on Visual Information Communication and Interaction10.1145/3356422.3356428(1-2)Online publication date: 20-Sep-2019
  • (2015)A Feature-first Approach to Clustering for Highlighting Regions of Interest in Scientific DataProcedia Computer Science10.1016/j.procs.2015.05.49751:C(2207-2216)Online publication date: 1-Sep-2015

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Information & Contributors

Information

Published In

cover image IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics  Volume 18, Issue 10
October 2012
208 pages

Publisher

IEEE Educational Activities Department

United States

Publication History

Published: 01 October 2012

Author Tags

  1. Data visualization
  2. Direct volume rendering
  3. Feature extraction
  4. Histograms
  5. Image color analysis
  6. Noise measurement
  7. Rendering (computer graphics)
  8. Transfer functions
  9. focus+context visualization.
  10. transfer function

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Cited By

View all
  • (2019)Feature Flow AnimationProceedings of the 12th International Symposium on Visual Information Communication and Interaction10.1145/3356422.3356428(1-2)Online publication date: 20-Sep-2019
  • (2015)A Feature-first Approach to Clustering for Highlighting Regions of Interest in Scientific DataProcedia Computer Science10.1016/j.procs.2015.05.49751:C(2207-2216)Online publication date: 1-Sep-2015

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