Shape-From-Motion is a computational framework within shape perception that infers three-dimensional structure from observed motion cues in multi-view image sequences by analyzing the spatiotemporal correspondences of feature points across dynamic visual observations.
668
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50.4K
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1.5K
Authors
537
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Publications per year
2017–2026
99
Variants
Structure-from-motion
Publications
668
Miri Blank, Lena Gorelick, Eli Shechtman et al. · 2005 · 1.7K citations
Lena Gorelick, Miri Blank, Eli Shechtman et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2007 · 1.4K citations
1–5 of 668
Authors
1.5K
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18
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10
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10
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10
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9
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1–5 of 1.5K
Institutions
537
Carnegie Mellon University
Pittsburgh, United States
28 h-index
100 publications
18.1K citations
Massachusetts Institute of Technology
Cambridge, United States
18 h-index
38 publications
3.4K citations
Centre National de la Recherche Scientifique
Paris, France
14 h-index
36 publications
1.8K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
13 h-index
29 publications
1.1K citations
Stanford University
Stanford, United States
13 h-index
29 publications
4.2K citations
Max Planck Institute for Informatics
Saarbrücken, Germany
13 h-index
48 publications
6.3K citations
University of Toronto
Toronto, Canada
13 h-index
25 publications
1.6K citations
University of Illinois Urbana-Champaign
Urbana, United States
13 h-index
28 publications
1.1K citations
1–8 of 537
Venues
- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 39 publications · 7.1K citations
29
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- Vision Research
35 publications · 1.6K citations
22
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- International Journal of Computer Vision
21 publications · 5K citations
16
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- Computer Vision and Image Understanding
CVIU · 19 publications · 965 citations
15
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- Perception & Psychophysics
15 publications · 886 citations
14
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