Feature-based Template Matching

Feature-Based Template Matching is a template matching approach that identifies correspondences by comparing extracted features rather than raw pixel intensities, distinguishing itself through the use of invariant or discriminative descriptors to achieve robustness against geometric and photometric variations.

78

Publications

5.5K

Citations

273

Authors

117

Institutions

Publications per year

2017–2026

18

Authors

273

  1. AA
    AmirAli Abdolrashidi

    University of California, Riverside, United States

    2 publications · 73 citations

    2

    h-index

  2. SM
    Shervin Minaee

    Snap (United States), United States

    2 publications · 73 citations

    2

    h-index

  3. KC
    K.J. Cornick

    University of Manchester, United Kingdom

    2 publications · 67 citations

    2

    h-index

  4. TA
    Tinghua Ai

    Wuhan University, China

    2 publications · 80 citations

    2

    h-index

  5. YW
    Yao Wang

    New York University, United States

    2 publications · 73 citations

    2

    h-index

1–5 of 273

Venues

  1. Pattern Recognition

    3 publications · 110 citations

    3

    h-index

  2. 3

    h-index

  3. Computers and Electronics in Agriculture

    2 publications · 62 citations

    2

    h-index

  4. Chinese Journal of Aeronautics

    CJA · 2 publications · 31 citations

    2

    h-index

  5. Sensors

    2 publications · 56 citations

    2

    h-index

1–5