title: Feature-driven data exploration for volumetric rendering.
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.
authors.affiliation: Purdue Visual Analytics Center, Purdue University, PO Box 519, 465 Northwestern Ave., West Lafayette, IN 47907, USA. iwoo@purdue.edu
authors.forename: Insoo
authors.initials: I
authors.lastname: Woo
authors.forename: Ross
authors.initials: R
authors.lastname: Maciejewski
authors.forename: Kelly P
authors.initials: KP
authors.lastname: Gaither
authors.forename: David S
authors.initials: DS
authors.lastname: Ebert
mesh_terms: D000465:Algorithms; D003196:Computer Graphics; D003198:Computer Simulation; D003952:Diagnostic Imaging; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D055869:Tornadoes