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

Waldow, Kristoffer; Scholz, Jonas; Misiak, Martin; Fuhrmann, Arnulph; Roth, Daniel; Latoschik and Marc Erich Latoshik
In: Virtuelle und Erweiterte Realität – 21. Workshop der GI-Fachgruppe VR/AR, 2024, , Germany

four different anti-aliasing methods
We compare four different anti-aliasing methods in four different rooms in a moving and static variant. Each variant and condition are pairwise compared to achieve a perceptual ranking.

Abstract

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. Understanding state-of-the-art anti-aliasing techniques and their trade-offs is therefore crucial for optimizing VR experiences and developing high-quality VR applications. This paper investigates multiple anti-aliasing techniques through a user study with pairwise comparisons to determine the best method for image quality in VR, considering 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 quality 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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