Reducing Computational Complexity of Real-Time Stereoscopic Ray Tracing with Spatiotemporal Sample Reprojection

Markku Mäkitalo, Petrus Kivi, Matias Koskela, Pekka Jääskeläinen

2019

Abstract

Sample reprojection is a computationally inexpensive way of increasing the quality of real-time ray tracing, where the number of samples that can be traced per pixel within the time budget is limited often to just one. Stereoscopic rendering further doubles the amount of rays to be traced, although it exhibits significant correlation not only temporally between frames, but also spatially between the viewpoints of the two eyes. We explore various reprojection schemes taking advantage of these correlations, and propose to quantify their contributions on the improved quality in terms of effective sample per pixel counts. We validate that sample reprojection is an effective way of reducing the computational complexity of real-time stereoscopic ray tracing, bringing potential benefits especially to lower-end devices.

Paper Citation

in Harvard Style

Mäkitalo M., Kivi P., Koskela M. and Jääskeläinen P. (2019). Reducing Computational Complexity of Real-Time Stereoscopic Ray Tracing with Spatiotemporal Sample Reprojection. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 1: GRAPP; ISBN 978-989-758-354-4, SciTePress, pages 367-374. DOI: 10.5220/0007692103670374

in Bibtex Style

@conference{grapp19,
author={Markku Mäkitalo and Petrus Kivi and Matias Koskela and Pekka Jääskeläinen},
title={Reducing Computational Complexity of Real-Time Stereoscopic Ray Tracing with Spatiotemporal Sample Reprojection},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 1: GRAPP},
year={2019},
pages={367-374},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007692103670374},
isbn={978-989-758-354-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 1: GRAPP
TI - Reducing Computational Complexity of Real-Time Stereoscopic Ray Tracing with Spatiotemporal Sample Reprojection
SN - 978-989-758-354-4
AU - Mäkitalo M.
AU - Kivi P.
AU - Koskela M.
AU - Jääskeläinen P.
PY - 2019
SP - 367
EP - 374
DO - 10.5220/0007692103670374
PB - SciTePress