Fourier Descriptors

Fourier Descriptors is a mathematical representation in signal processing that characterizes the shape of a closed contour by applying the Fourier transform to its boundary coordinates, thereby distinguishing it from other shape descriptors through the compactness and hierarchy of its frequency-domain coefficients.

543

Publications

30.7K

Citations

1.4K

Authors

630

Institutions

Publications per year

2017–2026

77

Authors

1.4K

  1. HI
    Hiroyoshi Iwata

    The University of Tokyo, Japan

    10 publications · 1.1K citations

    10

    h-index

  2. DZ
    Dengsheng Zhang

    Monash University, Australia

    7 publications · 1.5K citations

    7

    h-index

  3. GL
    Guojun Lu

    Monash University, Australia

    7 publications · 1.5K citations

    7

    h-index

  4. MN
    Mark Nixon

    University of Southampton, United Kingdom

    7 publications · 268 citations

    7

    h-index

  5. FG
    Faouzi Ghorbel

    Manouba University, Tunisia

    6 publications · 121 citations

    6

    h-index

1–5 of 1.4K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 20 publications · 2.8K citations

    19

    h-index

  2. Pattern Recognition

    19 publications · 1.3K citations

    19

    h-index

  3. 10

    h-index

  4. Pattern Recognition Letters

    8 publications · 260 citations

    8

    h-index

  5. IEEE Transactions on Systems Man and Cybernetics

    7 publications · 1.4K citations

    7

    h-index

1–5