Feature Extraction
Feature Extraction is the process of identifying and transforming raw data into a set of measurable characteristics or attributes that effectively represent the underlying patterns or structures of interest in a given signal, image, or sensory input, distinguishing it from related preprocessing and feature selection techniques by focusing specifically on the derivation of new, reduced-dimension features from原始 data.
19.8K
Publications
1.2M
Citations
48.7K
Authors
6.3K
Institutions
Publications per year
2017–2026
9.1K
19.8K
Speeded-Up Robust Features (SURF)
Herbert Bay, Andreas Ess, Tinne Tuytelaars et al. · Computer Vision and Image Understanding · 2008 · 13.4K citations
1–5 of 19.8K
48.7K
48
h-index
31
h-index
28
h-index
25
h-index
24
h-index
1–5 of 48.7K
6.3K

Hong Kong Polytechnic University
Hong Kong, Hong Kong
65 h-index
332 publications
43.6K citations

Harbin Institute of Technology
Harbin, China
63 h-index
611 publications
36.5K citations

Chinese Academy of Sciences
Beijing, China
59 h-index
696 publications
37.9K citations

Xi'an Jiaotong University
Xi'an, China
58 h-index
662 publications
44.7K citations
Tsinghua University
Beijing, China
56 h-index
548 publications
31.8K citations

Shanghai Jiao Tong University
Shanghai, China
55 h-index
520 publications
31.3K citations

Northwestern Polytechnical University
Xi'an, China
51 h-index
392 publications
21.9K citations
Nanyang Technological University
Singapore, Singapore
51 h-index
285 publications
16.4K citations
1–8 of 6.3K
295 publications · 33.9K citations
85
h-index
558 publications · 26.3K citations
75
h-index
124 publications · 23.8K citations
71
h-index
391 publications · 18.4K citations
69
h-index
193 publications · 16.7K citations
67
h-index
1–5