Paper
3 May 2001 Visualization of adaptive mesh refinement data
Gunther H. Weber, Hans Hagen, Bernd Hamann, Kenneth I. Joy, Terry J. Ligocki, Kwan-Liu Ma, John M. Shalf
Author Affiliations +
Proceedings Volume 4302, Visual Data Exploration and Analysis VIII; (2001) https://doi.org/10.1117/12.424922
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
Abstract
The complexity of physical phenomena often varies substantially over space and time. There can be regions where a physical phenomenon/quantity varies very little over a large extent. At the same time, there can be small regions where the same quantity exhibits highly complex variations. Adaptive mesh refinement (AMR) is a technique used in computational fluid dynamics to simulate phenomena with drastically varying scales concerning the complexity of the simulated variables. Using multiple nested grids of different resolutions, AMR combines the topological simplicity of structured-rectilinear grids, permitting efficient computational and storage, with the possibility to adapt grid resolutions in regions of complex behavior. We present methods for direct volume rendering of AMR data. Our methods utilize AMR grids directly for efficiency of the visualization process. We apply a hardware-accelerated rendering method to AMR data supporting interactive manipulation of color-transfer functions and viewing parameters. We also present a cell-projection-based rendering technique for AMR data.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gunther H. Weber, Hans Hagen, Bernd Hamann, Kenneth I. Joy, Terry J. Ligocki, Kwan-Liu Ma, and John M. Shalf "Visualization of adaptive mesh refinement data", Proc. SPIE 4302, Visual Data Exploration and Analysis VIII, (3 May 2001); https://doi.org/10.1117/12.424922
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Cited by 20 scholarly publications.
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KEYWORDS
Visualization

Volume rendering

Image segmentation

Solids

Copper

Computer simulations

Image quality

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