Local Feature Descriptors
Local Feature Descriptors is a computational method in image feature engineering that characterizes the distinctive appearance of localized image regions in a manner invariant to geometric and photometric transformations, thereby enabling reliable matching across different views of a scene.
2.9K
Publications
266.9K
Citations
7.5K
Authors
1.8K
Institutions
Publications per year
2017–2026
963
2.9K
Speeded-Up Robust Features (SURF)
Herbert Bay, Andreas Ess, Tinne Tuytelaars et al. · Computer Vision and Image Understanding · 2008 · 13.4K citations
ORB: An efficient alternative to SIFT or SURF
Ethan Rublee, Vincent Rabaud, Kurt Konolige et al. · 2011 · 10.4K citations
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7.5K
17
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Institut national de recherche en sciences et technologies du numérique, France
16 publications · 5.2K citations
15
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15
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14
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14
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1–5 of 7.5K
1.8K

Chinese Academy of Sciences
Beijing, China
44 h-index
332 publications
23.8K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
42 h-index
143 publications
59.2K citations

Centre National de la Recherche Scientifique
Paris, France
36 h-index
157 publications
25.3K citations
Institute of Automation
Beijing, China
28 h-index
125 publications
10.3K citations
Wuhan University
Wuhan, China
28 h-index
145 publications
9.3K citations

Peking University
Beijing, China
27 h-index
96 publications
5.7K citations
Tsinghua University
Beijing, China
27 h-index
109 publications
6.9K citations

University of Oulu
Oulu, Finland
26 h-index
80 publications
27.6K citations
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TPAMI · 82 publications · 29K citations
56
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97 publications · 12.9K citations
52
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78 publications · 4.7K citations
38
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Repository · 89 publications · 5.2K citations
33
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39 publications · 2.3K citations
25
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