Interactive Exploration of Large 3-D Unstructured-Grid Data.

Abstract

Visualizing unstructured-grid data from aerodynamic calculations is challenging because of the associated meshes are typically large in size and irregular in both shape and resolution. This research investigates appropriate data structures and rendering methods to allow interactive exploration of the data. In conjunction with fast splatting rendering, a multiresolution data representation based on agglomeration is used to make possible interactive visualization on a workstation. That is, data are rendered at a particular resolution according to visualization parameters as well as the speed and memory capacity of the workstation. Interactive visualization allows the user to quickly determine regions of interest and important visualization parameters such as viewing direction and transfer functions. We then apply a more accurate, expensive rendering method to the original data on the regions of interest. The original data are stored on disk. We show with both analysis and experimental results that R-tree is a better data structure for fast retrieval of such disk-resident data.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1996
Accession Number
ADA320781

Entities

People

  • Dimitri Mavriplis
  • Kwan-liu Ma
  • Scott Leutenegger

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computers
  • Data Processing
  • Data Sets
  • Data Visualization
  • Engineering
  • Geometry
  • Grids
  • Hash Tables
  • Low Resolution
  • Mathematics
  • Sequences
  • Sizes (Dimensions)
  • Three Dimensional
  • Transfer Functions
  • Trees (Data Structures)
  • Visualizations

Readers

  • Computational Fluid Dynamics (CFD)
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Computer Vision.