Keypoint-based Matching
Keypoint-Based Matching is a template matching method that identifies correspondences by detecting and comparing distinctive local feature points, distinguished from other methods through its reliance on invariant keypoint descriptors rather than direct pixel-wise or region-based similarity.
105
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7.6K
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356
Authors
150
Institutions
Publications per year
2017–2026
31
Parents
105
Matterport3D: Learning from RGB-D Data in Indoor Environments
Angela Dai, Thomas Funkhouser, Maciej Halber et al. · 2017 · 1.7K citations
Matterport3D: Learning from RGB-D Data in Indoor Environments
Angela Dai, Thomas Funkhouser, Maciej Halber et al. · arXiv (Cornell University) · 2017 · 334 citations · Full text
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University of Florence
Florence, Italy
3 h-index
11 publications
436 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
6 publications
139 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
8 publications
902 citations

Beihang University
Beijing, China
2 h-index
5 publications
369 citations
ETH Zurich
Zurich, Switzerland
2 h-index
7 publications
165 citations

Nankai University
Tianjin, China
2 h-index
5 publications
57 citations

National University of Defense Technology
Changsha, China
2 h-index
2 publications
38 citations
National University of Singapore
Singapore, Singapore
2 h-index
3 publications
128 citations
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4 publications · 1.8K citations
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3 publications · 62 citations
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3 publications · 76 citations
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3 publications · 78 citations
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GRSL · 2 publications · 576 citations
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