Sampled and Analytic Rasterization

Information

• Publication Type: Poster
• Workgroup(s)/Project(s):
  • Modern Functional Analysis in Computer Graphics
• Date: September 2013
• Series: VMV
• Publisher: Eurographics Association
• Location: Lugano, Switzerland
• ISBN: 978-3-905674-51-4
• Event: VMV 2013
• Booktitle: Proceedings of the 18th International Workshop on Vision, Modeling and Visualization
• Conference date: 11. September 2013 – 13. September 2013
• Pages: 223 – 224
• Keywords: Anti-Aliasing, Rasterization, Sampling, Supersampling, Prefiltering

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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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,
  series =     "VMV ",
  publisher =  "Eurographics Association",
  location =   "Lugano, Switzerland",
  isbn =       "978-3-905674-51-4",
  event =      "VMV 2013",
  booktitle =  "Proceedings of the 18th International Workshop on Vision,
               Modeling and Visualization",
  Conference date = "Poster presented at VMV 2013 (2013-09-11--2013-09-13)",
  note =       "223--224",
  pages =      "223 – 224",
  keywords =   "Anti-Aliasing, Rasterization, Sampling, Supersampling,
               Prefiltering",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_SAR/",
}