Scale-invariant Feature Transform
Scale-Invariant Feature Transform is a feature detection and description algorithm in computer vision that identifies distinctive, scale-stable keypoints and their associated descriptors in an image, enabling robust matching across varying scales, rotations, and affine transformations.
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127.8K
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2017–2026
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Chinese Academy of Sciences
Beijing, China
26 h-index
150 publications
11K citations
Wuhan University
Wuhan, China
24 h-index
140 publications
11.1K citations

Xidian University
Xi'an, China
19 h-index
80 publications
7.1K citations

Centre National de la Recherche Scientifique
Paris, France
15 h-index
46 publications
4.3K citations

Huazhong University of Science and Technology
Wuhan, China
15 h-index
69 publications
3.3K citations

Beihang University
Beijing, China
14 h-index
52 publications
1.9K citations
University of Chinese Academy of Sciences
Beijing, China
14 h-index
29 publications
1.8K citations
Institute of Automation
Beijing, China
14 h-index
41 publications
2.4K citations
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GRSL · 43 publications · 3.8K citations
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