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

Markku Mäkitalo; Petrus Kivi; Matias Koskela; Pekka Jääskeläinen

doi:10.5220/0007692103670374

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

Markku Mäkitalo, Petrus Kivi, Matias Koskela, Pekka Jääskeläinen

Computing Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

60 Downloads (Pure)

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.

Original language	English
Title of host publication	VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Publisher	SCITEPRESS
Pages	367-374
Number of pages	8
Volume	1
ISBN (Electronic)	978-989-758-354-4
DOIs	https://doi.org/10.5220/0007692103670374
Publication status	Published - 2019
Publication type	A4 Article in conference proceedings
Event	INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS THEORY AND APPLICATIONS - Duration: 1 Jan 1900 → …

Conference

Conference	INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS THEORY AND APPLICATIONS
Period	1/01/00 → …

Keywords

Computer Graphics
Real-Time Rendering
Ray Tracing
Stereoscopic
Temporal Coherence
Reprojection
Quality
Metrics

Publication forum classification

Publication forum level 1

Access to Document

10.5220/0007692103670374

Makitalo-Stereoscopic-Reprojection-GRAPP2019Accepted author manuscript, 16.5 MB

http://urn.fi/URN:NBN:fi:tty-201908282039

Cite this

Mäkitalo, M., Kivi, P., Koskela, M., & Jääskeläinen, P. (2019). Reducing Computational Complexity of Real-Time Stereoscopic Ray Tracing with Spatiotemporal Sample Reprojection. In VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (Vol. 1, pp. 367-374). SCITEPRESS. https://doi.org/10.5220/0007692103670374

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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.",

keywords = "Computer Graphics, Real-Time Rendering, Ray Tracing, Stereoscopic, Temporal Coherence, Reprojection, Quality, Metrics",

author = "Markku M{\"a}kitalo and Petrus Kivi and Matias Koskela and Pekka J{\"a}{\"a}skel{\"a}inen",

year = "2019",

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booktitle = "VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",

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Mäkitalo, M , Kivi, P, Koskela, M & Jääskeläinen, P 2019, Reducing Computational Complexity of Real-Time Stereoscopic Ray Tracing with Spatiotemporal Sample Reprojection. in VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. vol. 1, SCITEPRESS, pp. 367-374, INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS THEORY AND APPLICATIONS, 1/01/00. https://doi.org/10.5220/0007692103670374

Reducing Computational Complexity of Real-Time Stereoscopic Ray Tracing with Spatiotemporal Sample Reprojection. / Mäkitalo, Markku ; Kivi, Petrus; Koskela, Matias et al.
VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Vol. 1 SCITEPRESS, 2019. p. 367-374.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AB - 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.

KW - Computer Graphics

KW - Real-Time Rendering

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KW - Temporal Coherence

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Mäkitalo M , Kivi P, Koskela M, Jääskeläinen P. Reducing Computational Complexity of Real-Time Stereoscopic Ray Tracing with Spatiotemporal Sample Reprojection. In VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Vol. 1. SCITEPRESS. 2019. p. 367-374 doi: 10.5220/0007692103670374

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

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