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

Bibliographical note

Publisher Copyright:
© 2019 The Author(s) Eurographics Proceedings © 2019 The Eurographics Association.

ASJC Scopus subject areas

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

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