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Implementation of unbalanced optimal transport algorithms for infrared search and track from Bertrand et al., 2020

ieeexplore.ieee.org/document/9169657
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README.md
README.md
 
 
demo_alignment.m
demo_alignment.m
 
 
inv_affine_params.m
inv_affine_params.m
 
 
normalize_affine_kth.m
normalize_affine_kth.m
 
 
normalize_affine_mean.m
normalize_affine_mean.m
 
 
normalize_transform_by_matrix.m
normalize_transform_by_matrix.m
 
 
projective_mtx_affine.m
projective_mtx_affine.m
 
 
solver_RASL.m
solver_RASL.m
 
 
solver_RASL_UOT_inner_ADMM.m
solver_RASL_UOT_inner_ADMM.m
 
 
solver_RASL_inner_ADMM.m
solver_RASL_inner_ADMM.m
 
 
solver_RPCA_UOT_Beckman_ADMM.m
solver_RPCA_UOT_Beckman_ADMM.m
 
 
sparse_targets.m
sparse_targets.m
 
 

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Infrared Search and Track With Unbalanced Optimal Transport Dynamics Regularization

Code implementing the robust principal components analysis with patched unbalanced optimal transport (RPCA + PUOT) and robust alignment by sparse and low-rank with patched unbalanced optimal transport (RASL + PUOT) algorithms for infrared search and track (IRST) from Bertrand et al., 2020.

Look at demo_alignment.m for an example of how to use the solvers.

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Implementation of unbalanced optimal transport algorithms for infrared search and track from Bertrand et al., 2020

ieeexplore.ieee.org/document/9169657

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unbalanced-optimal-transport infrared-search-and-track

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