The regular polygon detector

Nick Barnes*, Gareth Loy, David Shaw

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    32 Citations (Scopus)

    Abstract

    This paper describes a robust regular polygon detector. Given image edges, we derive the a posteriori probability for a mixture of regular polygons, and thus the probability density function for the appearance of a set of regular polygons. Likely regular polygons can be isolated quickly by discretising and collapsing the search space into three dimensions. We derive a complete formulation for efficiently recovering the remaining dimensions using maximum likelihood at the locations of the most likely polygons. Results show robustness to noise, the ability to find and differentiate different shape types, and to perform real-time sign detection for driver assistance. Crown

    Original languageEnglish
    Pages (from-to)592-602
    Number of pages11
    JournalPattern Recognition
    Volume43
    Issue number3
    DOIs
    Publication statusPublished - Mar 2010

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