Feature Point Detection
Feature Point Detection is a computational method in pharmacophore modeling that identifies spatially distinct atomic or functional group positions indicative of molecular interactions by analyzing three-dimensional molecular structures for geometric and chemical features essential to biological activity.
414
Publications
22.8K
Citations
1.3K
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471
Institutions
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2017–2026
129
414
PCA-SIFT: a more distinctive representation for local image descriptors
Ke Yan, Rahul Sukthankar · 2004 · 3.2K citations
Human detection using depth information by Kinect
Lu Xia, Chia-Chih Chen, J.K. Aggarwal · 2011 · 509 citations
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Carnegie Mellon University
Pittsburgh, United States
7 h-index
11 publications
7.2K citations

Peking University
Beijing, China
7 h-index
26 publications
994 citations
Wuhan University
Wuhan, China
7 h-index
21 publications
2.3K citations

Delft University of Technology
Delft, The Netherlands
6 h-index
16 publications
1.8K citations

Tohoku University
Sendai, Japan
5 h-index
18 publications
576 citations

Chinese Academy of Sciences
Beijing, China
5 h-index
12 publications
387 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
5 h-index
17 publications
4.3K citations
Tianjin University
Tianjin, China
5 h-index
13 publications
293 citations
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15 publications · 534 citations
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TPAMI · 11 publications · 2.1K citations
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Repository · 6 publications · 225 citations
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