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Dense mirroring surface recovery from 1D homographies and sparse correspondences
Stas Rozenfeld
,
Ilan Shimshoni
, Michael Lindenbaum
Department of Information Systems
Research output
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Contribution to journal
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Article
›
peer-review
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Keyphrases
Image Point
100%
Dense Correspondence
100%
Homographies
100%
Surface Recovery
100%
Depth Estimation
66%
Computer Monitor
33%
3D Shape
33%
Local Shape
33%
Estimation Process
33%
Homography Matrix
33%
Surface Shape
33%
Depth Value
33%
Sub-millimeter Accuracy
33%
Surface Depth
33%
Sparse Sets
33%
Sunglasses
33%
Stainless Steel
33%
Heteroscedastic
33%
Display Monitor
33%
Local Surface
33%
Image Correspondence
33%
Dense Surface
33%
Constrained Interpolation
33%
Reliable Results
33%
Engineering
Homography
100%
Image Point
75%
Computer Monitor
25%
Shape Surface
25%
Stainless Steel
25%
Constrainedness
25%
Computer Science
Depth Estimation
100%
Estimation Process
50%
Computer Monitor
50%
Interpolation
50%
Mathematics
Image Point
100%
Matrix (Mathematics)
33%
Interpolation
33%
3D Shape
33%