• DocumentCode
    1505145
  • Title

    High-Quality, Semi-Analytical Volume Rendering for AMR Data

  • Author

    Marchesin, Stéphane ; De Verdiére, Guillaume Colin

  • Author_Institution
    DAM, CEA, Arpajon, France
  • Volume
    15
  • Issue
    6
  • fYear
    2009
  • Firstpage
    1611
  • Lastpage
    1618
  • Abstract
    This paper presents a pipeline for high quality volume rendering of adaptive mesh refinement (AMR) datasets. We introduce a new method allowing high quality visualization of hexahedral cells in this context; this method avoids artifacts like discontinuities in the isosurfaces. To achieve this, we choose the number and placement of sampling points over the cast rays according to the analytical properties of the reconstructed signal inside each cell. We extend our method to handle volume shading of such cells. We propose an interpolation scheme that guarantees continuity between adjacent cells of different AMR levels. We introduce an efficient hybrid CPU-GPU mesh traversal technique. We present an implementation of our AMR visualization method on current graphics hardware, and show results demonstrating both the quality and performance of our method.
  • Keywords
    computational geometry; data visualisation; interpolation; mesh generation; ray tracing; rendering (computer graphics); signal reconstruction; signal sampling; AMR dataset visualization method; adaptive mesh refinement; graphics hardware; hexahedral cell; high-quality semianalytical volume rendering; hybrid CPU-GPU mesh traversal technique; interpolation scheme; isosurface discontinuity; ray casting; sampling point placement; signal reconstruction; volume shading; Adaptive mesh refinement; Data visualization; Graphics; Interpolation; Isosurfaces; Numerical simulation; Pipelines; Rendering (computer graphics); Sampling methods; Signal analysis; close-up of an AMR dataset showing a meteorite falling into the sea rendered using our system;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2009.149
  • Filename
    5290780