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
Parents
169
Nonlinear spatial normalization using basis functions
John Ashburner, Karl Friston · Human Brain Mapping · 1999 · 1.9K citations · Full text
Medicine, Neuroscience, Radiology +17
Study on subset size selection in digital image correlation for speckle patterns
Bing Pan, Huimin Xie, Zhaoyang Wang et al. · Optics Express · 2008 · 616 citations · Full text
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218

University of Minnesota
Minneapolis, United States
4 h-index
8 publications
166 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
6 publications
462 citations

Johns Hopkins University
Baltimore, United States
4 h-index
11 publications
177 citations
University of Oxford
Oxford, United Kingdom
3 h-index
5 publications
224 citations

UNSW Sydney
Sydney, Australia
3 h-index
9 publications
129 citations
Catholic University of America
Washington D.C., United States
3 h-index
3 publications
1.2K citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
5 publications
141 citations
Université de Rennes
Rennes, France
3 h-index
11 publications
532 citations
1–8 of 218
6 publications · 126 citations
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5 publications · 174 citations
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5 publications · 180 citations
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TPAMI · 4 publications · 276 citations
4
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3 publications · 743 citations
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