Sampled and Analytic Rasterization

Thomas Auzinger, Michael Wimmer
Sampled and Analytic Rasterization
Poster shown at VMV 2013 (11. September 2013-13. September 2013) In Proceedings of the 18th International Workshop on Vision, Modeling and Visualization , pages 223-224.
[Poster]

Information

Abstract

In this poster we present an overview of exact anti-aliasing (AA) methods in rasterization. In contrast to the common supersampling approaches for visibility AA (e.g. MSAA) or both visibility and shading AA (e.g. SSAA, decoupled sampling), prefiltering provides the mathematically exact solution to the aliasing problem. Instead of averaging a set a supersamples, the input data is convolved with a suitable low-pass filter before sampling is applied. Recent work showed that for both visibility signals and simple shading models, a closed-form solution to the convolution integrals can be found. As our main contribution, we present a classification of both sample-based and analytic AA approaches for rasterization and analyse their strengths and weaknesses.

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Poster: The final version of the presented poster. Poster: The final version of the presented poster.

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BibTeX

@misc{Auzinger_2013_SAR,
  title =      "Sampled and Analytic Rasterization",
  author =     "Thomas Auzinger and Michael Wimmer",
  year =       "2013",
  abstract =   "In this poster we present an overview of exact anti-aliasing
               (AA) methods in rasterization. In contrast to the common
               supersampling approaches for visibility AA (e.g. MSAA) or
               both visibility and shading AA (e.g. SSAA, decoupled
               sampling), prefiltering provides the mathematically exact
               solution to the aliasing problem. Instead of averaging a set
               a supersamples, the input data is convolved with a suitable
               low-pass filter before sampling is applied. Recent work
               showed that for both visibility signals and simple shading
               models, a closed-form solution to the convolution integrals
               can be found. As our main contribution, we present a
               classification of both sample-based and analytic AA
               approaches for rasterization and analyse their strengths and
               weaknesses.",
  month =      sep,
  booktitle =  "Proceedings of the 18th International Workshop on Vision,
               Modeling and Visualization",
  event =      "VMV 2013",
  isbn =       "978-3-905674-51-4",
  location =   "Lugano, Switzerland",
  publisher =  "Eurographics Association",
  series =     "VMV ",
  note =       "Poster presented at VMV 2013 (2013-09-11--2013-09-13)",
  pages =      "223--224",
  keywords =   "Anti-Aliasing, Rasterization, Sampling, Supersampling,
               Prefiltering",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_SAR/",
}