loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Markku Mäkitalo ; Petrus Kivi ; Matias Koskela and Pekka Jääskeläinen

Affiliation: Tampere University and Finland

Keyword(s): Computer Graphics, Real-Time Rendering, Ray Tracing, Stereoscopic, Temporal Coherence, Reprojection, Quality, Metrics.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image-Based Rendering ; Real-Time Rendering ; Rendering ; Rendering Algorithms

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.205.2.188

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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) - GRAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, pages 367-374. DOI: 10.5220/0007692103670374

@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) - GRAPP},
year={2019},
pages={367-374},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007692103670374},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - GRAPP
TI - Reducing Computational Complexity of Real-Time Stereoscopic Ray Tracing with Spatiotemporal Sample Reprojection
SN - 978-989-758-354-4
IS - 2184-4321
AU - Mäkitalo, M.
AU - Kivi, P.
AU - Koskela, M.
AU - Jääskeläinen, P.
PY - 2019
SP - 367
EP - 374
DO - 10.5220/0007692103670374
PB - SciTePress