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Distribution Ray Tracing
https://courses.cs.washington.edu/courses/cse457/07sp/lectures/drt.pdf
[Originally called “distributed ray tracing,” but we will call it distribution ray tracing so as not to confuse with parallel computing.] 16 DRT pseudocode TraceImage() looks basically the same, except now each pixel records the average color of jittered sub-pixel rays. function traceImage (scene): for each pixel (i, j) in image do I(i, j) ←0
Distribution Ray Tracing - University of Texas at Austin
https://www.cs.utexas.edu/~fussell/courses/cs384g-spring2010/lectures/lecture11-Drt.pdf
called distribution ray tracing [Cook84]: uses non-uniform (jittered) samples. replaces aliasing artifacts with noise. provides additional effects by distributing rays to sample: Reflections and refractions Light source area Camera lens area Time [Originally called “distributed ray …
Distributed Ray Tracing Abstract - Pixar
https://graphics.pixar.com/library/DistributedRayTracing/paper.pdf
This is called distributed ray tracing. Distributed ray tracing is a new approach to image syn- thesis. The key is that no extra rays are needed beyond those used for oversampling in space. For example, rather than taking multiple time samples at every spatial location, the rays are distributed in time so that rays at
Distribution Ray Tracing
https://courses.cs.washington.edu/courses/cse557/14au/lectures/drt.pdf
[This approach was originally called “distributed ray tracing,” but we will call it distribution ray tracing (as in probability distributions) so as not to confuse it with a parallel computing approach.] 28 DRT pseudocode TraceImage() looks basically the same, except now each pixel records the average color of jittered sub-pixel rays.
Distribution Ray Tracing - University of Texas at Austin
https://www.cs.utexas.edu/~fussell/courses/cs384g-fall2011/lectures/drt.pdf
An Introduction to Ray Tracing. Academic Press, 1989. [In the lab.] Robert L. Cook, Thomas Porter, Loren Carpenter. “Distributed Ray Tracing.” Computer Graphics (Proceedings of SIGGRAPH 84). 18 (3). pp. 137-145. 1984. James T. Kajiya. “The Rendering Equation.” ... a probability density function
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