Velocity-Based LOD Reduction in Virtual Reality: A Psychophysical Approach
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Virtual Reality headsets enable users to explore the environment by performing self-induced movements. The retinal velocity produced by such motion reduces the visual system's ability to resolve fine detail. We measured the impact of self-induced head rotations on the ability to detect quality changes of a realistic 3D model in an immersive virtual reality environment. We varied the Level of Detail (LOD) as a function of rotational head velocity with different degrees of severity. Using a psychophysical method, we asked 17 participants to identify which of the two presented intervals contained the higher quality model under two different maximum velocity conditions. After fitting psychometric functions to data relating the percentage of correct responses to the aggressiveness of LOD manipulations, we identified the threshold severity for which participants could reliably (75%) detect the lower LOD model. Participants accepted an approximately four-fold LOD reduction even in the low maximum velocity condition without a significant impact on perceived quality, suggesting that there is considerable potential for optimisation when users are moving (increased range of perceptual uncertainty). Moreover, LOD could be degraded significantly more (around 84%) in the maximum head velocity condition, suggesting these effects are indeed speed-dependent.
Description
CCS Concepts: Computing methodologies → Perception; Virtual reality
@inproceedings{10.2312:egs.20231010,
booktitle = {Eurographics 2023 - Short Papers},
editor = {Babaei, Vahid and Skouras, Melina},
title = {{Velocity-Based LOD Reduction in Virtual Reality: A Psychophysical Approach}},
author = {Petrescu, David and Warren, Paul A. and Montazeri, Zahra and Pettifer, Steve},
year = {2023},
publisher = {The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-209-7},
DOI = {10.2312/egs.20231010}
}