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Proceedings Paper

Error estimation and smoothing of 2D illumination and chromaticity distributions
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Paper Abstract

Methods for computing bin-by-bin error estimates of 2-D illumination and chromaticity distributions generated from Monte-Carlo raytracing data will be introduced, as well as algorithms for choosing the optimal number of bins based on the desired accuracy. Methods of improving the accuracy of such distributions will also be discussed, along with methods for smoothing these results for display purposes.

Paper Details

Date Published: 4 September 2002
PDF: 8 pages
Proc. SPIE 4769, Optical Design and Analysis Software II, (4 September 2002); doi: 10.1117/12.481178
Show Author Affiliations
William J. Cassarly, Optical Research Associates (United States)
Eric C. Fest, Optical Research Associates (United States)
David G. Jenkins, Optical Research Associates (United States)


Published in SPIE Proceedings Vol. 4769:
Optical Design and Analysis Software II
Richard C. Juergens, Editor(s)

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