Stratified Sampling for Stochastic Transparency
The traditional method of rendering semi‐transparent surfaces using alpha blending requires sorting the surfaces in depth order. There are several techniques for order‐independent transparency, but most require either unbounded storage or can be fragile due to forced compaction of information during...
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Published in | Computer graphics forum Vol. 30; no. 4; pp. 1197 - 1204 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Blackwell Publishing Ltd
01.06.2011
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Subjects | |
Online Access | Get full text |
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Summary: | The traditional method of rendering semi‐transparent surfaces using alpha blending requires sorting the surfaces in depth order. There are several techniques for order‐independent transparency, but most require either unbounded storage or can be fragile due to forced compaction of information during rendering. Stochastic transparency works in a fixed amount of storage and produces results with the correct expected value. However, carelessly chosen sampling strategies easily result in high variance of the final pixel colors, showing as noise in the image. In this paper, we describe a series of improvements to stochastic transparency that enable stratified sampling in both spatial and alpha domains. As a result, the amount of noise in the image is significantly reduced, while the result remains unbiased. |
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Bibliography: | istex:B085FF1AA93ADE3A15009888983B22367B10DBE8 ArticleID:CGF1978 ark:/67375/WNG-C6RFNLL7-8 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0167-7055 1467-8659 |
DOI: | 10.1111/j.1467-8659.2011.01978.x |