Feature-based Matching
Feature-Based Matching is a method within the field of message matching that identifies correspondences between messages by comparing their extracted syntactic, semantic, or structural features to determine similarity.
232
Publications
10.3K
Citations
725
Authors
277
Institutions
Publications per year
2017–2026
90
Parents
232
Image Matching from Handcrafted to Deep Features: A Survey
Jiayi Ma, Xingyu Jiang, Aoxiang Fan et al. · International Journal of Computer Vision · 2020 · 962 citations · Full text
Localization and manipulation of small parts using GelSight tactile sensing
Rui Li, Robert W. Platt, Wenzhen Yuan et al. · 2014 · 254 citations · Full text
1–5 of 232
725
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277
Wuhan University
Wuhan, China
8 h-index
23 publications
3.8K citations

Chinese Academy of Sciences
Beijing, China
8 h-index
20 publications
776 citations
Nanyang Technological University
Singapore, Singapore
4 h-index
7 publications
326 citations
University of California, Berkeley
Berkeley, United States
4 h-index
6 publications
772 citations
Yunnan Normal University
Kunming, China
4 h-index
17 publications
296 citations

National Taiwan University
Taipei, Taiwan
4 h-index
8 publications
138 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
8 publications
398 citations
University of Chinese Academy of Sciences
Beijing, China
4 h-index
5 publications
59 citations
1–8 of 277
6 publications · 90 citations
6
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TPAMI · 6 publications · 898 citations
6
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Repository · 5 publications · 109 citations
5
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5 publications · 113 citations
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5 publications · 157 citations
5
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