Parallel Volume Rendering Algorithms for Computational Flow Imaging

Abstract

Computational flow imaging (CFI) uses theoretical predictions of the interaction and transmission of optical waves through theoretical flowfield to generate digital pictures that simulate real observations, but visualizing three-dimensional unstructured data from aerodynamics calculations is challenging because the associated meshes are typically larger in size and irregular in both shape and resolution. The goal of this research is to develop a fast, efficient parallel volume rendering algorithm of computational flow imaging (corresponding to shadowgraph, schlieren and interferometer) tor parallel distributed-memory supercomputers consisting of a large number of powerful processors. We use a preprocessing procedure that the whole flow field is divided into new regular regions in which the vowels are distributed by x and y coordinates so that the ray-casting and field reconstructing can provide maximum flexibility in the data distribution and rendering steps.

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Document Details

Document Type
Technical Report
Publication Date
Aug 23, 2002
Accession Number
ADA409188

Entities

People

  • Anzhi He
  • Jialing Le
  • Yingchuan Wu

Organizations

  • Russian Academy of Sciences

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mechanics
  • Classification
  • Computational Fluid Dynamics
  • Equations
  • Flow
  • Flow Fields
  • Flow Visualization
  • Grids
  • Images
  • Integrals
  • Laser Induced Fluorescence
  • Light Sources
  • Optical Properties
  • Parallel Computing
  • Refractive Index
  • Three Dimensional

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Fluid Dynamics.
  • Parallel and Distributed Computing.