Sparse 3D Reconstruction
Sparse 3D Reconstruction is a computational technique in scene reconstruction that estimates a three-dimensional structure by recovering a sparse set of 3D points from multiple 2D images, distinguishing itself from dense reconstruction methods through its focus on geometrically significant or feature-based correspondences rather than comprehensive surface modeling.
385
Publications
35.2K
Citations
1.4K
Authors
459
Institutions
Publications per year
2017–2026
175
Parents
385
Noah Snavely, Steven M. Seitz, Richard Szeliski · ACM Transactions on Graphics · 2006 · 2.8K citations · Full text
The space of human body shapes
Brett L. Allen, Brian Curless, Zoran Popović · 2003 · 914 citations
Architecture, Anatomy, 3D Modeling +16
1–5 of 385
1.4K
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5 publications · 9.6K citations
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University of Electronic Science and Technology of China, China
4 publications · 192 citations
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4
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1–5 of 1.4K
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Carnegie Mellon University
Pittsburgh, United States
11 h-index
25 publications
3.2K citations

Chinese Academy of Sciences
Beijing, China
11 h-index
37 publications
1.4K citations
ETH Zurich
Zurich, Switzerland
10 h-index
24 publications
2.4K citations
Tsinghua University
Beijing, China
10 h-index
39 publications
2.3K citations
Microsoft (United States)
Redmond, United States
8 h-index
10 publications
3.2K citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
16 publications
562 citations
University of Washington
Seattle, United States
8 h-index
20 publications
15.1K citations

Zhejiang University
Hangzhou, China
8 h-index
29 publications
2.4K citations
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TPAMI · 11 publications · 510 citations
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9 publications · 251 citations
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TOG · 9 publications · 6.7K citations
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8 publications · 378 citations
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6 publications · 352 citations
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