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Monte Carlo Techniques for Direct Lighting Calculations (1996)
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| Venue: | ACM Transactions on Graphics |
| Citations: | 93 - 9 self |
BibTeX
@ARTICLE{Shirley96montecarlo,
author = {Peter Shirley and Changyaw Wang and Kurt Zimmermann},
title = {Monte Carlo Techniques for Direct Lighting Calculations},
journal = {ACM Transactions on Graphics},
year = {1996},
volume = {15},
pages = {1--36}
}
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Abstract
In a distribution ray tracer, the crucial part of the direct lighting calculation is the sampling strategy for shadow ray testing. Monte Carlo integration with importance sampling is used to carry out this calculation. Importance sampling involves the design of integrand-specific probability density functions which are used to generate sample points for the numerical quadrature. Probability density functions are presented that aid in the direct lighting calculation from luminaires of various simple shapes. A method for defining a probability density function over a set of luminaires is presented that allows the direct lighting calculation to be carried out with one sample, regardless of the number of luminaires. CR Categories and Subject Descriptors: G.1.4 [Mathematical Computing]: Quadrature and Numerical Differentiation; I.3.0 [Computer Graphics]: General; I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism. Additional Key Words and Phrases: direct lighting, importanc...
Keyphrases
direct lighting calculation monte carlo technique probability density function computer graphic importance sampling crucial part distribution ray tracer numerical differentiation monte carlo integration mathematical computing direct lighting subject descriptor numerical quadrature shadow ray sample point integrand-specific probability density function cr category three-dimensional graphic various simple shape additional key word
