Sparse Localization
Sparse Localization is a visual localization paradigm that belongs to the class of camera pose estimation methods, distinguished by its reliance on sparse correspondences between 3D map points and 2D image features to determine the camera position and orientation.
45
Publications
3.6K
Citations
138
Authors
62
Institutions
Publications per year
2017–2026
14
Parents
45
Localization in sparse networks using sweeps
David K. Goldenberg, Pascal Bihler, Ming Cao et al. · 2006 · 210 citations
1–5 of 45
138
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New Jersey Institute of Technology, United States
3 publications · 305 citations
3
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3
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2
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2
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1–5 of 138
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Massachusetts Institute of Technology
Cambridge, United States
6 h-index
12 publications
5.3K citations
New Jersey Institute of Technology
Newark, United States
3 h-index
6 publications
610 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
3 h-index
5 publications
128 citations
UCLouvain
Louvain-la-Neuve, Belgium
2 h-index
2 publications
86 citations
University of Maryland, College Park
College Park, United States
2 h-index
4 publications
52 citations

Zhejiang University
Hangzhou, China
2 h-index
9 publications
601 citations
Woods Hole Oceanographic Institution
Falmouth, United States
2 h-index
3 publications
685 citations
Technion – Israel Institute of Technology
Haifa, Israel
2 h-index
2 publications
293 citations
1–8 of 62
IJRR · 2 publications · 1.5K citations
2
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2 publications · 65 citations
2
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2 publications · 371 citations
2
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1 publications · 146 citations
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1 publications · 44 citations
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