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Variational model for depth estimation from images
Alexander Malyshev
, Xue-Cheng TAI
Department of Mathematics
Research output
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Chapter in book/report/conference proceeding
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Conference proceeding
›
peer-review
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Keyphrases
Variational Model
100%
Multi-label Problem
100%
Depth Estimation
100%
Numerical Solution
50%
Convex Relaxation
50%
Numerical Examples
50%
Nonconvex
50%
High-dimensional Space
50%
Three-dimensional Space
50%
Boundary Value Problem
50%
Fast Poisson Solver
50%
Augmented Lagrangian Method
50%
Poisson Equation
50%
Convex Variational Problems
50%
Continuous Reforming
50%
Functional Lifting
50%
Min-cut
50%
Correspondence Problem
50%
Convex Reformulation
50%
Continuous-time Formulation
50%
Ishikawa Iteration
50%
Stereo Image Pair
50%
Engineering
Dimensional Space
100%
Reformulation
100%
Numerical Solution
50%
Numerical Example
50%
Illustrates
50%
Boundary Value
50%
Lagrangian Method
50%
Image Pair
50%
Data Term
50%
Mathematics
Dimensional Space
100%
Numerical Solution
50%
Numerical Example
50%
Boundary Value Problems
50%
Lagrangian
50%
Variational Problem
50%
Poisson Equation
50%
Min-Cut
50%