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Proceedings Paper

Data-dependent gradient quantization scheme for the acceleration of volume rendering
Author(s): Peer-Timo Bremer; Oliver Kreylos; Bernd Hamann
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Paper Abstract

Volume rendering requires the use of gradient information used as surface normal information, for application of lighting models. However, for interactive applications on- the-fly calculation of gradients is too slow. The common solution to this problem is to quantize gradients of trivariate scalar fields and pre-compute a look-up table prior to the application of a volume rendering method. A number of techniques have been proposed for the quantization of normal vectors, but few have been applied to or adapted for the purpose of volume rendering. We describe a new data- dependent method to quantize gradients using an even number of vectors in a table. The quantization scheme we use is based on a tessellation of the unit sphere. This tessellation represents an 'optimally' distributed set of unit normal vectors. Staring with a random tessellation, we optimize the size and distribution of the tiles with a simulated annealing approach.

Paper Details

Date Published: 3 May 2001
PDF: 11 pages
Proc. SPIE 4302, Visual Data Exploration and Analysis VIII, (3 May 2001); doi: 10.1117/12.424917
Show Author Affiliations
Peer-Timo Bremer, Univ. of California/Davis (United States)
Oliver Kreylos, Univ. of California/Davis (United States)
Bernd Hamann, Univ. of California/Davis (United States)


Published in SPIE Proceedings Vol. 4302:
Visual Data Exploration and Analysis VIII
Robert F. Erbacher; Philip C. Chen; Jonathan C. Roberts; Craig M. Wittenbrink; Matti Grohn, Editor(s)

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