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Anti-aliasing Techniques in Virtual Reality: A User Study with Perceptual Pairwise Comparison Ranking Scheme

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2024

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Gesellschaft für Informatik e.V.

Zusammenfassung

Anti-aliasing is essential for Virtual Reality (VR) applications, as the pixels of current VR displays subtend a large field of view. This makes various undersampling artifacts particularly noticeable. Un- derstanding state-of-the-art anti-aliasing techniques and their trade- offs is therefore crucial for optimizing VR experiences and develop- ing high-quality VR applications. This paper investigates multiple anti-aliasing techniques through a user study with pairwise compar- isons to determine the best method for image quality in VR, con- sidering both static and moving objects in four different plausible environments. Results indicate that the ranking of methods does not differ significantly between moving and static scenes. While naive Supersampling Anti-Aliasing provides the best image qual- ity from the tested methods and Fast Approximate Anti-Aliasing the worst, Temporal Anti-Aliasing and Multisample Anti-Aliasing achieved similar results in terms of image quality.

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Waldow, Kristoffer; Scholz, Jonas; Misiak, Martin; Fuhrmann, Arnulph; Roth, Daniel; Latoschik, Marc Erich (2024): Anti-aliasing Techniques in Virtual Reality: A User Study with Perceptual Pairwise Comparison Ranking Scheme. GI VR / AR Workshop. DOI: 10.18420/vrar2024_0015. Gesellschaft für Informatik e.V.. 17. - 18. September 2024

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