Fast feature identification for holographic tracking: The orientation alignment transform

Bhaskar Jyoti Krishnatreya, David G. Grier

    Research output: Contribution to journalArticle

    Abstract

    The concentric fringe patterns created by features in holograms may be associated with a complex-valued orientational order field. Convolution with an orientational alignment operator then identifies centers of symmetry that correspond to the two-dimensional positions of the features. Feature identification through orientational alignment is reminiscent of voting algorithms such as Hough transforms, but may be implemented with fast convolution methods, and so can be orders of magnitude faster.

    Original languageEnglish (US)
    Pages (from-to)12773-12778
    Number of pages6
    JournalOptics Express
    Volume22
    Issue number11
    DOIs
    StatePublished - 2014

    Fingerprint

    convolution integrals
    alignment
    voting
    diffraction patterns
    operators
    symmetry

    ASJC Scopus subject areas

    • Atomic and Molecular Physics, and Optics

    Cite this

    Fast feature identification for holographic tracking : The orientation alignment transform. / Krishnatreya, Bhaskar Jyoti; Grier, David G.

    In: Optics Express, Vol. 22, No. 11, 2014, p. 12773-12778.

    Research output: Contribution to journalArticle

    Krishnatreya, Bhaskar Jyoti ; Grier, David G. / Fast feature identification for holographic tracking : The orientation alignment transform. In: Optics Express. 2014 ; Vol. 22, No. 11. pp. 12773-12778.
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