(Enter summary)
Abstract: VR-based rendering of large-scale data sets is typically
limited by timing and complexity constraints of the rendering
engine. Decentralized rendering, such as accessing
a large data repository over a network and
rendering the image on the client side, causes problems
due to the limited bandwidth of existing networks. We
present a combination of octree space subdivision and
wavelet compression techniques to store large volumetric
data sets in a hierarchical fashion, and we incorporate
a unique... (Update)
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BibTeX entry: (Update)
Joerg Meyer, Ragnar Borg, Bernd Hamann, Kenneth I. Joy, and Arthur J. Olson, "VR based Rendering Techniques for Large-scale Biomedical Data Sets", Online Proceedings of NSF/DoE Lake Tahoe Workshop on Hierarchical Approximation and Geometrical Methods for Scientific Visualization , pp. 73-76, Granlibakken Conference Center, Tahoe City, CA, 2000. http://citeseer.ist.psu.edu/meyer00vrbased.html More
@misc{ meyer00vr,
author = "J. Meyer and R. Borg and B. Hamann and K. Joy and A. Olson",
title = "VR based Rendering Techniques for Large-scale Biomedical Data Sets",
text = "Joerg Meyer, Ragnar Borg, Bernd Hamann, Kenneth I. Joy, and Arthur J. Olson,
VR based Rendering Techniques for Large-scale Biomedical Data Sets, Online
Proceedings of NSF/DoE Lake Tahoe Workshop on Hierarchical Approximation
and Geometrical Methods for Scientific Visualization , pp. 73-76, Granlibakken
Conference Center, Tahoe City, CA, 2000.",
year = "2000",
url = "citeseer.ist.psu.edu/meyer00vrbased.html" }
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Multiresolution-Darstellung von 2D-Schichtdaten in der mediz.. (context) - Timna
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