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BibTeX entry
@Article{Wong:1997:SHH,
author = "Tien-Tsin Wong and Wai-Shing Luk and Pheng-Ann Heng",
title = "Sampling with {Hammersley} and {Halton} Points",
journal = j-J-GRAPHICS-TOOLS,
volume = "2",
number = "2",
pages = "9--24",
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/WongLukHeng97/",
abstract = "The Hammersley and Halton point sets, two well known
low discrepancy sequences, have been used for
quasi-Monte Carlo integration in previous research. A
deterministic formula generates a uniformly distributed
and stochastic-looking sampling pattern, at low
computational cost. The Halton point set is also useful
for incremental sampling. In this paper, we discuss
detailed implementation issues and our experience of
choosing suitable bases of the point sets, not just on
the $2$D plane, but also on a spherical surface. The
sampling scheme is also applied to ray tracing, with a
significant improvement in error.",
acknowledgement = ack-nhfb,
journal-URL = "http://www.tandfonline.com/loi/ujgt20",
}
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