Feature-based Template Matching
Feature-Based Template Matching is a template matching approach that identifies correspondences by comparing extracted features rather than raw pixel intensities, distinguishing itself through the use of invariant or discriminative descriptors to achieve robustness against geometric and photometric variations.
78
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5.5K
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273
Authors
117
Institutions
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2017–2026
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78
Person Re-Identification by Support Vector Ranking
Bryan J. Prosser, Wei‐Shi Zheng, Shaogang Gong et al. · 2010 · 666 citations · Full text
Template Matching with Deformable Diversity Similarity
Itamar Talmi, Roey Mechrez, Lihi Zelnik‐Manor · 2017 · 125 citations
B. Yegnanarayana, S. R. Mahadeva Prasanna, J.M. Zachariah et al. · IEEE Transactions on Speech and Audio Processing · 2005 · 110 citations
Language Studies, Linguistics, Natural Language Processing +15
Real-time Vision-based Gesture Recognition for Human Robot Interaction
Mohammed Hasanuzzaman, V. Ampornaramveth, Tao Zhang et al. · 2005 · 87 citations
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Yonsei University
Seoul, South Korea
3 h-index
4 publications
120 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
2 h-index
8 publications
217 citations
Wuhan University
Wuhan, China
2 h-index
4 publications
217 citations
Tsinghua University
Beijing, China
2 h-index
4 publications
134 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
2 publications
92 citations
Electronics and Telecommunications Research Institute
Daejeon, South Korea
2 h-index
4 publications
154 citations
Tongji University
Shanghai, China
2 h-index
10 publications
214 citations
Nanjing University of Science and Technology
Nanjing, China
2 h-index
8 publications
298 citations
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3 publications · 110 citations
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TPAMI · 3 publications · 2.5K citations
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2 publications · 62 citations
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CJA · 2 publications · 31 citations
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2 publications · 56 citations
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