Feature-driven data exploration for volumetric rendering

Insoo Woo, Ross Maciejewski, Kelly P. Gaither, David S. Ebert

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


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.

Original languageEnglish (US)
Article number6143934
Pages (from-to)1731-1743
Number of pages13
JournalIEEE Transactions on Visualization and Computer Graphics
Issue number10
StatePublished - 2012


  • Direct volume rendering
  • focus+context visualization
  • transfer function

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design


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