Stochastic sampling in computer graphics

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Stochastic sampling in computer graphics

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ACM Transactions on Graphics (TOG) archive
Volume 5 , Issue 1 (January 1986) table of contents

Pages: 51 - 72

Year of Publication: 1986

ISSN:0730-0301

Author

Robert L. Cook

Pixar, San Rafael, CA

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 65, Downloads (12 Months): 343, Citation Count: 94

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ABSTRACT

Ray tracing, ray casting, and other forms of point sampling are important techniques in computer graphics, but their usefulness has been undermined by aliasing artifacts. In this paper it is shown that these artifacts are not an inherent part of point sampling, but a consequence of using regularly spaced samples. If the samples occur at appropriate nonuniformly spaced locations, frequencies above the Nyquist limit do not alias, but instead appear as noise of the correct average intensity. This noise is much less objectionable to our visual system than aliasing. In ray tracing, the rays can be stochastically distributed to perform a Monte Carlo evaluation of integrals in the rendering equation. This is called distributed ray tracing and can be used to simulate motion blur, depth of field, penumbrae, gloss, and translucency.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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INDEX TERMS

Classification:
G. Mathematics of Computing
G.3 PROBABILITY AND STATISTICS
Subjects: Probabilistic algorithms (including Monte Carlo)

I. Computing Methodologies
I.3 COMPUTER GRAPHICS
I.3.3 Picture/Image Generation
Subjects: Viewing algorithms

General Terms:
Algorithms

REVIEW

"William C. Lindow : Reviewer"

This paper provides a very general summary of how stochastic sampling of an image reduces aliasing but adds noise to the resulting image. The reader is forced to accept the author's viewpoint because he provides no reasoning or rationale, with h more...

Collaborative Colleagues:

Robert L. Cook: colleagues

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