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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Proceedings of the A...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
DBLP
Article . 2018
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Alpha Distribution for Alpha Testing

Authors: Cem Yuksel;

Alpha Distribution for Alpha Testing

Abstract

Alpha testing is widely used for rendering surfaces with transparency. While it works well when transparency is a binary function, semi-transparent regions cause problems, as they are classified as either fully transparent or opaque. Unfortunately, semi-transparent texture regions often appear in coarser mipmap levels, causing surfaces to disappear with distance. We introduce the alpha distribution approach for pre-processing the alpha values of a texture such that alpha testing produces expected results with semi-transparency without any modification to render-time operations. We describe two separate algorithms for alpha distribution with similar qualitative behavior. Our results show that alpha distribution can produce high-quality results with low noise. We also explain how alpha distribution can be extended for high-quality rendering with alpha-to-coverage.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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