Gradient-based Template Matching
Gradient-Based Template Matching is a template matching method that distinguishes itself by utilizing image gradient information to measure similarity between a template and target regions, enhancing robustness to illumination changes and enabling more accurate alignment through gradient orientation and magnitude comparisons.
16
Publications
1.1K
Citations
47
Authors
24
Institutions
Publications per year
2017–2026
2
Parents
16
GradNet: Gradient-Guided Network for Visual Object Tracking
Peixia Li, Boyu Chen, Wanli Ouyang et al. · 2019 · 328 citations
1–5 of 16
47
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1–5 of 47
24
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
2 h-index
6 publications
180 citations

Universitat Autònoma de Barcelona
Cerdanyola del Vallès, Spain
1 h-index
3 publications
42 citations
Universidade Federal de São Carlos
São Carlos, Brazil
1 h-index
4 publications
88 citations
Computer Vision Center
Cerdanyola del Vallès, Spain
1 h-index
3 publications
42 citations
Northeastern University
Boston, United States
1 h-index
1 publications
102 citations
Dalian University of Technology
Dalian, China
1 h-index
4 publications
1.3K citations
Liaoning Jianzhu Vocational University
Liaoyang, China
1 h-index
1 publications
12 citations
Yale Cancer Center
New Haven, United States
1 h-index
1 publications
69 citations
1–8 of 24
2 publications · 259 citations
2
h-index
Repository · 1 publications · 49 citations
1
h-index
1 publications · 46 citations
1
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TPAMI · 1 publications · 82 citations
1
h-index
1 publications · 23 citations
1
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1–5