Sampling with Pinwheel Tiles

Abdalla G.M. Ahmed*

*Corresponding author for this work

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

    2 Scopus citations

    Abstract

    We outline an adaptive sampling framework based on Conway's pinwheel tiles. It offers a unique feature that the generated tiles have infinite number of orientation angles, minimizing the strong auto-correlations found on all other lookup-sampling frameworks. We describe a novel string-based approach to enumerate distinct neighbor configurations in pinwheel tiles.

    Original languageEnglish (US)
    Title of host publicationComputer Graphics and Visual Computing, CGVC 2019
    EditorsFranck P. Vidal, Gary K.L. Tam, Jonathan C. Roberts
    PublisherEurographics Association
    Pages147-148
    Number of pages2
    ISBN (Electronic)9783038680963
    DOIs
    StatePublished - 2019
    Event37th Annual Conference on Computer Graphics and Visual Computing, CGVC 2019 - Bangor, United Kingdom
    Duration: Sep 12 2019Sep 13 2019

    Publication series

    NameComputer Graphics and Visual Computing, CGVC 2019

    Conference

    Conference37th Annual Conference on Computer Graphics and Visual Computing, CGVC 2019
    Country/TerritoryUnited Kingdom
    CityBangor
    Period09/12/1909/13/19

    ASJC Scopus subject areas

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

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