Sparse Sampling for Real-time Ray Tracing

Timo Viitanen, Matias Koskela, Kalle Immonen, Markku Mäkitalo, Pekka Jääskeläinen, Jarmo Takala

Abstract

Ray tracing is an interesting rendering technique, but remains too slow for real-time applications. There are various algorithmic methods to speed up ray tracing through uneven screen-space sampling, e.g., foveated rendering where sampling is directed by eye tracking. Uneven sampling methods tend to require at least one sample per pixel, limiting their use in real-time rendering. We review recent work on image reconstruction from arbitrarily distributed samples, and argue that these will play major role in the future of real-time ray tracing, allowing a larger fraction of samples to be focused on regions of interest. Potential implementation approaches and challenges are discussed.

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Paper Citation


in Harvard Style

Viitanen T., Koskela M., Immonen K., Mäkitalo M., Jääskeläinen P. and Takala J. (2018). Sparse Sampling for Real-time Ray Tracing.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, ISBN 978-989-758-287-5, pages 295-302. DOI: 10.5220/0006655802950302


in Bibtex Style

@conference{grapp18,
author={Timo Viitanen and Matias Koskela and Kalle Immonen and Markku Mäkitalo and Pekka Jääskeläinen and Jarmo Takala},
title={Sparse Sampling for Real-time Ray Tracing},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP,},
year={2018},
pages={295-302},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006655802950302},
isbn={978-989-758-287-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP,
TI - Sparse Sampling for Real-time Ray Tracing
SN - 978-989-758-287-5
AU - Viitanen T.
AU - Koskela M.
AU - Immonen K.
AU - Mäkitalo M.
AU - Jääskeläinen P.
AU - Takala J.
PY - 2018
SP - 295
EP - 302
DO - 10.5220/0006655802950302