Kernel-based Matching
Kernel-Based Matching is a template matching technique that uses a kernel function to measure similarity between a template and image regions by mapping them into a higher-dimensional feature space, thereby enabling nonlinear pattern recognition through localized correlation in transformed domains.
134
Publications
9.1K
Citations
381
Authors
190
Institutions
Publications per year
2017–2026
27
Parents
134
Image subtraction using a space-varying kernel
C. Alard · Astronomy and Astrophysics Supplement Series · 2000 · 853 citations · Full text
Natural Sciences, Astronomy, Physics +15
1–5 of 134
381
Institut national de recherche en sciences et technologies du numérique, France
5 publications · 459 citations
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3
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3
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1–5 of 381
190
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
7 h-index
16 publications
1.5K citations
Centre Inria de l'Université de Rennes
Rennes, France
5 h-index
12 publications
935 citations

Data61
Sydney, Australia
5 h-index
9 publications
1.4K citations

Beihang University
Beijing, China
4 h-index
10 publications
245 citations
National University of Singapore
Singapore, Singapore
4 h-index
9 publications
378 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
6 publications
121 citations

Sun Yat-sen University
Guangzhou, China
3 h-index
7 publications
97 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
7 publications
176 citations
1–8 of 190
5 publications · 312 citations
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5 publications · 104 citations
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TPAMI · 5 publications · 685 citations
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3 publications · 62 citations
3
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CVIU · 3 publications · 93 citations
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