Variational Regularization of Inverse Problems for Manifold-Valued Data.
Martin StorathAndreas WeinmannPublished in: CoRR (2018)
Keyphrases
- inverse problems
- valued data
- image reconstruction
- regularization methods
- global optimization
- convex optimization
- parameter space
- optimization methods
- optimization problems
- matrix valued
- covariance matrices
- order statistics
- image segmentation
- early vision
- mixture model
- partial differential equations
- low dimensional
- optical flow
- tensor field
- high dimensional
- smoothness constraint
- feature space
- computer vision
- optimization method
- maximum likelihood