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Authors: Igor Aherne ; Richard Davison ; Gary Ushaw and Graham Morgan

Affiliation: School of Computing, Newcastle University, Newcastle upon Tyne, U.K.

Keyword(s): Global Illumination, Voxels, Real-time Rendering, Lighting.

Abstract: The enhancement of 3D scenes using indirect illumination brings increased realism. As indirect illumination is computationally expensive, significant research effort has been made in lowering resource requirements while maintaining fidelity. State-of-the-art approaches, such as voxel cone tracing, exploit the parallel nature of the GPU to achieve real-time solutions. However, such approaches require bespoke GPU code which is not tightly aligned to the graphics pipeline in hardware. This results in a reduced ability to leverage the latest dedicated GPU hardware graphics techniques. In this paper we present a solution that utilises GPU supported sparse 3D texture maps. In doing so we provide an engineered solution that is more integrated with the latest GPU hardware than existing approaches to indirect illumination. We demonstrate that our approach not only provides a more optimal solution, but will benefit from the planned future enhancements of sparse 3D texture support expected in G PU development. (More)

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Paper citation in several formats:
Aherne, I.; Davison, R.; Ushaw, G. and Morgan, G. (2020). Adoption of Sparse 3D Textures for Voxel Cone Tracing in Real Time Global Illumination. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - GRAPP; ISBN 978-989-758-402-2; ISSN 2184-4321, SciTePress, pages 201-209. DOI: 10.5220/0008874502010209

@conference{grapp20,
author={Igor Aherne. and Richard Davison. and Gary Ushaw. and Graham Morgan.},
title={Adoption of Sparse 3D Textures for Voxel Cone Tracing in Real Time Global Illumination},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - GRAPP},
year={2020},
pages={201-209},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008874502010209},
isbn={978-989-758-402-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - GRAPP
TI - Adoption of Sparse 3D Textures for Voxel Cone Tracing in Real Time Global Illumination
SN - 978-989-758-402-2
IS - 2184-4321
AU - Aherne, I.
AU - Davison, R.
AU - Ushaw, G.
AU - Morgan, G.
PY - 2020
SP - 201
EP - 209
DO - 10.5220/0008874502010209
PB - SciTePress