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
Link To Document :
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