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An optimal control approach to optical flow computation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-65024-6openalex-snapshot
Optimal Control of Systems Governed by Partial Differential Equations
inferredcites →https://doi.org/10.1007/bf00128153openalex-snapshot
Computing optical flow across multiple scales: An adaptive coarse-to-fine strategy
inferredcites →https://doi.org/10.1007/bf01420984openalex-snapshot
Performance of optical flow techniques
inferredcites →https://doi.org/10.1007/bfb0056304openalex-snapshot
Non-rigid registration of breast MR images using mutual information
inferredcites →https://doi.org/10.1016/0004-3702(81)90024-2openalex-snapshot
Determining optical flow
inferredcites →https://doi.org/10.1016/b978-0-7506-6594-0.x5037-1openalex-snapshot
Numerical Computation of Internal and External Flows
inferredcites →https://doi.org/10.1090/s0025-5718-1977-0431719-xopenalex-snapshot
Multi-Level Adaptive Solutions to Boundary-Value Problems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-66497-7_8openalex-snapshot
CLAIRE: Scalable GPU-Accelerated Algorithms for Diffeomorphic Image Registration in 3D
inferred← citeshttps://doi.org/10.1007/978-3-642-33134-3_21openalex-snapshot
Parameter Estimation Problems in Physically Based Image Processing
inferred← citeshttps://doi.org/10.1007/s00245-019-09573-2openalex-snapshot
Template-Based Image Reconstruction from Sparse Tomographic Data
inferred← citeshttps://doi.org/10.1007/s10444-018-9625-5openalex-snapshot
Fast iterative solvers for an optimal transport problem
inferred← citeshttps://doi.org/10.1007/s10957-008-9460-9openalex-snapshot
Pontryagin’s Maximum Principle for Multidimensional Control Problems in Image Processing
inferred← citeshttps://doi.org/10.1007/s11075-015-0060-0openalex-snapshot
A new approach to improve ill-conditioned parabolic optimal control problem via time domain decomposition
inferred← citeshttps://doi.org/10.1016/j.jcp.2012.08.039openalex-snapshot
All-at-once solution of time-dependent Stokes control
inferred← citeshttps://doi.org/10.1049/iet-csr.2018.0002openalex-snapshot
Visual inference of flow flux via free surface PDE model and image sequence assimilation
inferred← citeshttps://doi.org/10.1080/17415977.2017.1361421openalex-snapshot
Vascular blood flow reconstruction with contrast-enhanced computerized tomography
inferred← citeshttps://doi.org/10.1080/17415977.2020.1724108openalex-snapshot
Contrast enhanced tomographic reconstruction of vascular blood flow based on the Navier-Stokes equation.
inferred← citeshttps://doi.org/10.1088/1742-6596/756/1/012003openalex-snapshot
Contrast enhanced computerized tomography measurement of vascular blood flow
inferred← citeshttps://doi.org/10.1113/jp287275openalex-snapshot
Determining properties of human‐induced pluripotent stem cell‐derived cardiomyocytes using spatially resolved electromechanical metrics
inferred← citeshttps://doi.org/10.1137/060671590openalex-snapshot
Multigrid Methods for PDE Optimization
inferred← citeshttps://doi.org/10.1137/090767674openalex-snapshot
Analysis of Finite Element Discretizations of an Optimal Control Formulation of the Image Registration Problem
inferred← citeshttps://doi.org/10.1137/16m1070475openalex-snapshot
A Semi-Lagrangian Two-Level Preconditioned Newton--Krylov Solver for Constrained Diffeomorphic Image Registration
inferred← citeshttps://doi.org/10.1137/17m1114132openalex-snapshot
A Lagrangian Gauss--Newton--Krylov Solver for Mass- and Intensity-Preserving Diffeomorphic Image Registration
inferred← citeshttps://doi.org/10.1137/19m1275280openalex-snapshot
Image-Driven Biophysical Tumor Growth Model Calibration
inferred← citeshttps://doi.org/10.1515/jiip-2017-0107openalex-snapshot
Contrast enhanced tomographic reconstruction of vascular blood flow with first order and second order adjoint methods
inferred← citeshttps://doi.org/10.3390/mca27020022openalex-snapshot
Stochastic Neural Networks for Automatic Cell Tracking in Microscopy Image Sequences of Bacterial Colonies
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