Image Feature Construction
Image Feature Construction is a computational methodology within feature engineering that specifically involves the derivation of informative, discriminative, and often high-dimensional representations from raw pixel data through mathematical transformations, structural analysis, or deep learning techniques to enhance machine perception in visual tasks.
231
Publications
12.3K
Citations
754
Authors
324
Institutions
Publications per year
2017–2026
104
Parents
231
Image indexing using color correlograms
Jing Huang, S. Ravi Kumar, Mandar Mitra et al. · 2002 · 1.7K citations · Full text
Identification of Humans Using Gait
Amit Kale, Aravind Sundaresan, A. N. Rajagopalan et al. · IEEE Transactions on Image Processing · 2004 · 571 citations
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Chinese Academy of Sciences
Beijing, China
6 h-index
9 publications
1K citations
University of Chicago
Chicago, United States
4 h-index
16 publications
1.2K citations

Victoria University of Wellington
Wellington, New Zealand
4 h-index
15 publications
454 citations
Michigan State University
East Lansing, United States
4 h-index
6 publications
933 citations
Zhejiang University of Science and Technology
Hangzhou, China
4 h-index
11 publications
431 citations
Nanjing University of Science and Technology
Nanjing, China
4 h-index
12 publications
183 citations
Shandong University
Jinan, China
4 h-index
13 publications
512 citations
University of Maryland, College Park
College Park, United States
4 h-index
13 publications
952 citations
1–8 of 324
Repository · 11 publications · 943 citations
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5 publications · 340 citations
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TPAMI · 4 publications · 502 citations
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4 publications · 762 citations
4
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4 publications · 221 citations
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