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Authors: Antti Peuhkurinen 1 and Tommi Mikkonen 2

Affiliations: 1 Varjo Ltd., Helsinki, Finland ; 2 Department of Computer Science, University of Helsinki, Helsinki, Finland

Keyword(s): Mixed Reality, Human Eye Resolution, Ray Tracing, Real-time Rendering.

Abstract: Mixed reality applications require natural visualizations. Ray tracing is one of the candidates for this purpose. Real-time ray tracing is slowly becoming a reality in consumer market mixed and virtual reality. This is happening due to development in display technologies and computer hardware. Some of these examples are foveated rendering enabled high resolution displays, like Varjo mixed reality headset, and parallel computing enablers, like GPUs getting ray tracing hardware acceleration enablers, such as for example Nvidia’s RTX. Currently, the challenge in ray tracing is resource need especially in mixed reality where low latency is wanted and with human eye resolution where high resolution needs are obvious. In this paper, we design and implement a novel foveated ray tracing solution called Human Eye Resolution Ray Tracer (HERR) that achieves real-time frame rates in human eye resolution in mixed reality.

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Paper citation in several formats:
Peuhkurinen, A. and Mikkonen, T. (2021). Real-time Human Eye Resolution Ray Tracing in Mixed Reality. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - GRAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 169-176. DOI: 10.5220/0010205701690176

@conference{grapp21,
author={Antti Peuhkurinen. and Tommi Mikkonen.},
title={Real-time Human Eye Resolution Ray Tracing in Mixed Reality},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - GRAPP},
year={2021},
pages={169-176},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010205701690176},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - GRAPP
TI - Real-time Human Eye Resolution Ray Tracing in Mixed Reality
SN - 978-989-758-488-6
IS - 2184-4321
AU - Peuhkurinen, A.
AU - Mikkonen, T.
PY - 2021
SP - 169
EP - 176
DO - 10.5220/0010205701690176
PB - SciTePress