Corner Detection

Corner Detection is a feature detection method that identifies image points with significant intensity variations in multiple directions, distinguishing it from edge or blob detection techniques by its sensitivity to local curvature and orientation changes in visual patterns.

931

Publications

57K

Citations

2.6K

Authors

852

Institutions

Publications per year

2017–2026

286

Authors

2.6K

  1. WZ
    Weichuan Zhang

    Fujian Institute of Research on the Structure of Matter, China

    10 publications · 466 citations

    10

    h-index

  2. MA
    Mohammad Awrangjeb

    Griffith University, Australia

    8 publications · 435 citations

    8

    h-index

  3. GL
    Guojun Lu

    Monash University, Australia

    8 publications · 479 citations

    8

    h-index

  4. FS
    F. Sandoval

    Universidad de Málaga, Spain

    7 publications · 222 citations

    7

    h-index

  5. CS
    Changming Sun

    Commonwealth Scientific and Industrial Research Organisation, Australia

    7 publications · 272 citations

    7

    h-index

1–5 of 2.6K

Venues

  1. Pattern Recognition

    37 publications · 2.2K citations

    28

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 28 publications · 6.1K citations

    24

    h-index

  3. Pattern Recognition Letters

    29 publications · 1.3K citations

    22

    h-index

  4. IEEE Transactions on Image Processing

    17 publications · 1.7K citations

    15

    h-index

  5. Sensors

    16 publications · 569 citations

    14

    h-index

1–5