Pattern Matching In Visual Data
Pattern Matching in Visual Data is a computational method that identifies and localizes specific structures, shapes, or arrangements within visual datasets by comparing them against predefined templates or learned models, distinguishing it from general image analysis through its focus on precise correspondence and spatial coherence.
24
Publications
3.5K
Citations
56
Authors
37
Institutions
Publications per year
2017–2026
2
Parents
24
Matching Local Self-Similarities across Images and Videos
Eli Shechtman, Michal Irani · 2007 · 1.1K citations
1–5 of 24
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Universidade do Estado de Santa Catarina, Brazil
1 publications · 17 citations
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Commonwealth Scientific and Industrial Research Organisation, Australia
1 publications · 70 citations
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1–5 of 56
37

Weizmann Institute of Science
Rehovot, Israel
2 h-index
3 publications
2.2K citations

Northeastern University
Shenyang, China
1 h-index
1 publications
32 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
3 publications
54 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
1 h-index
3 publications
96 citations

Pennsylvania State University
State College, United States
1 h-index
5 publications
445 citations

University of Surrey
Guildford, United Kingdom
1 h-index
3 publications
189 citations

Polytechnique Montréal
Montreal, Canada
1 h-index
1 publications
34 citations
Open University of Israel
Raanana, Israel
1 h-index
2 publications
46 citations
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TPAMI · 3 publications · 339 citations
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1 publications · 10 citations
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1 publications · 18 citations
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IJNCR · 1 publications · 17 citations
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1 publications · 23 citations
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