Feature Matching
Feature Matching is the process of identifying corresponding points or regions between two or more images by establishing geometric and photometric consistency, distinguished from other correspondence methods through its reliance on distinctive local descriptors derived from image features.
2.7K
Publications
246.2K
Citations
6.8K
Authors
1.6K
Institutions
Publications per year
2017–2026
899
2.7K
Object recognition from local scale-invariant features
David Lowe · 1999 · 16.2K citations
ORB: An efficient alternative to SIFT or SURF
Ethan Rublee, Vincent Rabaud, Kurt Konolige et al. · 2011 · 10.4K citations
Amos Tversky · Psychological Review · 1977 · 7.3K citations
PCA-SIFT: a more distinctive representation for local image descriptors
Ke Yan, Rahul Sukthankar · 2004 · 3.2K citations
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6.8K
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1.6K
Wuhan University
Wuhan, China
34 h-index
259 publications
16.5K citations

Chinese Academy of Sciences
Beijing, China
32 h-index
212 publications
10.7K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
26 h-index
69 publications
6.7K citations

Centre National de la Recherche Scientifique
Paris, France
23 h-index
74 publications
3.4K citations
University of Maryland, College Park
College Park, United States
23 h-index
60 publications
5.3K citations
Carnegie Mellon University
Pittsburgh, United States
23 h-index
68 publications
13.2K citations

Harbin Institute of Technology
Harbin, China
23 h-index
95 publications
5.3K citations
Nanyang Technological University
Singapore, Singapore
22 h-index
78 publications
3.5K citations
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TPAMI · 94 publications · 17.2K citations
57
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67 publications · 4.4K citations
34
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49 publications · 2.8K citations
28
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42 publications · 3.4K citations
25
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GRSL · 37 publications · 2.2K citations
23
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