Sum Of Squared Differences

Sum of Squared Differences is a template matching metric that computes the pixel-wise squared intensity deviations between a template and sub-images of a target image to quantify their dissimilarity.

169

Publications

10.7K

Citations

468

Authors

218

Institutions

Publications per year

2017–2026

18

Variants

Ssd

Authors

468

  1. BP
    Bing Pan

    Beihang University, China

    4 publications · 1.2K citations

    4

    h-index

  2. NP
    Nikos Papanikolopoulos

    University of Minnesota, United States

    4 publications · 181 citations

    4

    h-index

  3. ZW
    Zhaoyang Wang

    Catholic University of America, United States

    3 publications · 1.2K citations

    3

    h-index

  4. JO
    Jeff Orchard

    University of Waterloo, Canada

    3 publications · 76 citations

    3

    h-index

  5. HX
    Huimin Xie

    Tsinghua University, China

    3 publications · 1.1K citations

    3

    h-index

1–5 of 468

Venues

  1. 6

    h-index

  2. 5

    h-index

  3. IEEE Transactions on Image Processing

    5 publications · 180 citations

    5

    h-index

  4. 4

    h-index

  5. Optics Express

    3 publications · 743 citations

    3

    h-index

1–5