Volumetric Data Exploration Using Interval Volume

  • Authors:
  • Issei Fujishiro;Yuji Maeda;Hiroshi Sato;Yuriko Takeshima

  • Affiliations:
  • -;-;-;-

  • Venue:
  • IEEE Transactions on Visualization and Computer Graphics
  • Year:
  • 1996

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Abstract

A new type of geometric model called Interval volume for volumetric data exploration is presented. An interval volume represents a three-dimensional subvolume for which the associate scalar values lie within a user-specified interval, and provides one of the promising approaches to solid fitting, which is an extended concept of traditional surface fitting. A well known isosurfacing algorithm called Marching Cubes is extended to obtain a solid fitting algorithm, which extracts from a given volumetric data set a high resolution, polyhedral solid data structure of an interval volume. Branch-on-Need Octree is used as an auxiliary data structure to accelerate the extraction process. A variety of interval volume rendering methods and principal related operations, including measurements and focusing, are also presented. The effectiveness of measurement-coupled visualization capabilities of the presented approach is demonstrated by application to visualizing a four-dimensional simulated data from atomic collision research.