Non-Sampled Anti-Aliasing

Thomas Auzinger, Przemyslaw Musialski, Reinhold Preiner, Michael Wimmer

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

In this paper we present a parallel method for high-quality edge anti-aliasing. In contrast to traditional graphics hardware methods, which rely on massive oversampling to combat aliasing issues in the rasterization process, we evaluate a closed-form solution of the associated prefilter convolution. This enables the use of a wide range of filter functions with arbitrary kernel sizes, as well as general shading methods such as texture mapping or complex illumination models. Due to the use of analytic solutions, our results are exact in the mathematical sense and provide objective ground-truth for other anti-aliasing methods and enable the rigorous comparison of different models and filters. An efficient implementation on general purpose graphics hardware is discussed and several comparisons to existing techniques and of various filter functions are given.
Original languageEnglish
Title of host publicationProceedings of the 18th International Workshop on Vision, Modeling and Visualization (VMV 2013)
EditorsMichael Bronstein, Jean Favre, Kai Hormann
PublisherEurographics - European Association for Computer Graphics
Pages169-176
Number of pages8
ISBN (Print)978-3-905674-51-4
Publication statusPublished - 1 Sep 2013
Externally publishedYes

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    Auzinger, T., Musialski, P., Preiner, R., & Wimmer, M. (2013). Non-Sampled Anti-Aliasing. In M. Bronstein, J. Favre, & K. Hormann (Eds.), Proceedings of the 18th International Workshop on Vision, Modeling and Visualization (VMV 2013) (pp. 169-176). Eurographics - European Association for Computer Graphics.