Exploring Foveation Techniques for Virtual Reality Environments

Razeen Hussain, Manuela Chessa, Fabio Solari

2024

Abstract

Virtual reality technology is constantly advancing leading to the creation of novel experiences for the user. High-resolution displays often are accompanied by higher processing power needs. Foveated rendering is a potential solution to circumvent this issue as it can significantly reduce the computational load by rendering only the area where the user is looking with higher detail. In this work, we compare different foveated rendering algorithms in terms of the quality of the final rendered image. The focus of this work is on evaluating 4K images. These algorithms are also compared based on computational models of human visual processing. Our analysis revealed that the non-linear content-aware algorithm performs best.

Paper Citation

in Harvard Style

Hussain R., Chessa M. and Solari F. (2024). Exploring Foveation Techniques for Virtual Reality Environments. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP; ISBN 978-989-758-679-8, SciTePress, pages 321-328. DOI: 10.5220/0012458200003660

in Bibtex Style

@conference{grapp24,
author={Razeen Hussain and Manuela Chessa and Fabio Solari},
title={Exploring Foveation Techniques for Virtual Reality Environments},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP},
year={2024},
pages={321-328},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012458200003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP
TI - Exploring Foveation Techniques for Virtual Reality Environments
SN - 978-989-758-679-8
AU - Hussain R.
AU - Chessa M.
AU - Solari F.
PY - 2024
SP - 321
EP - 328
DO - 10.5220/0012458200003660
PB - SciTePress