Real-time Feature Detection
Real-Time Feature Detection is a computational method in computer vision that enables the immediate identification and localization of distinctive image features with minimal latency, ensuring processing rates sufficient to support continuous, time-sensitive applications.
480
Publications
47.4K
Citations
1.8K
Authors
666
Institutions
Publications per year
2017–2026
197
Parents
480
1–5 of 480
1.8K
Advanced Telecommunications Research Institute International, Japan
4 publications · 199 citations
4
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3
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3
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2
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2
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1–5 of 1.8K
666

Chinese Academy of Sciences
Beijing, China
8 h-index
29 publications
1.2K citations
Northwest A&F University
Yangling, China
7 h-index
40 publications
5.6K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
23 publications
901 citations
Ministry of Agriculture and Rural Affairs
Beijing, China
7 h-index
25 publications
3.9K citations
Tsinghua University
Beijing, China
5 h-index
21 publications
748 citations

Massey University
Palmerston North, New Zealand
5 h-index
13 publications
337 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
5 h-index
13 publications
246 citations
Graz University of Technology
Graz, Austria
4 h-index
10 publications
1.5K citations
1–8 of 666
13 publications · 600 citations
13
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11 publications · 558 citations
11
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8 publications · 954 citations
8
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5 publications · 172 citations
5
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5 publications · 302 citations
5
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