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

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationVISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
PublisherSCITEPRESS
Pages367-374
Number of pages8
Volume1
ISBN (Electronic)978-989-758-354-4
DOIs
Publication statusPublished - 2019
Publication typeA4 Article in a conference publication
EventINTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS THEORY AND APPLICATIONS -
Duration: 1 Jan 1900 → …

Conference

ConferenceINTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS THEORY AND APPLICATIONS
Period1/01/00 → …

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

Publication forum classification

Field of science, Statistics Finland

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