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BibTeX entry
@Article{Chung:1997:RRS,
author = "A. J. Chung and A. J. Field",
title = "Rendering Radiosity Solutions by Adaptive Gathering",
journal = j-J-GRAPHICS-TOOLS,
volume = "2",
number = "2",
pages = "31--44",
year = "1997",
CODEN = "JGTOFD",
ISSN = "1086-7651",
ISSN-L = "1086-7651",
bibdate = "Thu Oct 12 17:08:13 2000",
bibsource = "http://www.acm.org/jgt/issues.html;
http://www.math.utah.edu/pub/tex/bib/jgraphtools.bib",
URL = "http://www.acm.org/jgt/papers/ChungField97/",
abstract = "The radiosity method is a finite element global
illumination technique that usually involves the
discretization of the environment being modeled and
estimating the light transported between the resulting
elements. The computed result, a collection of patches
and their estimated radiances, does not produce a very
realistic image and often the reconstruction of the
illuminance functions over each visible surface is
necessary. The more sophisticated of these
reconstruction techniques perform a local gathering
step at closely spaced sample points, typically one per
pixel. This paper describes an algorithmic framework
for implementing this final gathering pass that allows
one to adaptively control the spacing of sample points
in order to minimize the number of computationally
expensive local gather operations while still achieving
a rendered image of acceptable quality.\par The basic
algorithm is independent of the method by which the
global illumination solution is obtained but can easily
be tuned for specific models and surfaces. The method
is also easily extended to allow the shading of curved
surfaces within a radiosity environment.",
acknowledgement = ack-nhfb,
journal-URL = "http://www.tandfonline.com/loi/ujgt20",
}
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