Depth From Motion
Depth From Motion is a computational method in computer vision that estimates scene depth by analyzing the geometric and photometric changes in image sequences induced by relative motion between the camera and the environment.
129
Publications
6.8K
Citations
320
Authors
154
Institutions
Publications per year
2017–2026
33
129
DeMoN: Depth and Motion Network for Learning Monocular Stereo
Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig et al. · 2017 · 757 citations · Full text
A survey of human motion analysis using depth imagery
Lulu Chen, James Ferryman · Pattern Recognition Letters · 2013 · 376 citations
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154
Princeton University
Princeton, United States
7 h-index
10 publications
610 citations

University of Genoa
Genoa, Italy
6 h-index
14 publications
605 citations
University of Maryland, College Park
College Park, United States
6 h-index
16 publications
669 citations
Daimler (Germany)
Stuttgart, Germany
3 h-index
6 publications
94 citations

University of Massachusetts Amherst
Amherst Center, United States
3 h-index
7 publications
194 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
3 h-index
12 publications
518 citations
ETH Zurich
Zurich, Switzerland
3 h-index
7 publications
1.9K citations
Tsinghua University
Beijing, China
3 h-index
4 publications
194 citations
1–8 of 154
TPAMI · 9 publications · 519 citations
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Repository · 4 publications · 133 citations
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4 publications · 132 citations
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4 publications · 226 citations
4
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3 publications · 85 citations
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