Discrete Total Variation of the Normal Vector Field as Shape Prior with Applications in Geometric Inverse Problems.
Ronny BergmannMarc HerrmannRoland HerzogStephan SchmidtJosé Vidal-NúñezPublished in: CoRR (2019)
Keyphrases
- vector field
- total variation
- inverse problems
- shape prior
- convex optimization
- global optimization
- image restoration
- image denoising
- denoising
- graph cuts
- active contours
- object boundaries
- level set
- shape model
- partial differential equations
- deformable models
- optical flow
- image segmentation
- image reconstruction
- image processing
- regularization term
- active contour model
- early vision
- curve evolution
- segmentation algorithm
- optimization methods
- energy functional
- segmentation method
- motion field
- velocity field
- energy function
- bayesian framework
- variational framework
- prior information
- markov random field
- mumford shah functional
- flow field
- image sequences
- pairwise
- multiresolution
- wavelet transform
- computer vision
- particle swarm optimization