Sparse sampling for real-time ray tracing

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

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

    3 Citations (Scopus)

    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.

    Original languageEnglish
    Title of host publicationVISIGRAPP 2018 - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
    PublisherSCITEPRESS
    Pages295-302
    Number of pages8
    Volume1
    ISBN (Electronic)9789897582875
    DOIs
    Publication statusPublished - 2018
    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 → …

    Keywords

    • Image reconstruction
    • Ray tracing
    • Sparse sampling

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition
    • Computer Graphics and Computer-Aided Design
    • Artificial Intelligence

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