A Neural Network Energy Minimization Approach to Approximation of 2-dimensional Shapes.
Todd LawHidenori ItohHirohisa SekiPublished in: CAIP (1995)
Keyphrases
- energy minimization
- neural network
- graph cuts
- energy function
- markov random field
- shape model
- deformable template
- image segmentation
- global minimum
- shape prior
- belief propagation
- problems in computer vision
- dual decomposition
- active contour model
- low level vision
- max flow
- weighted constraint satisfaction
- curve evolution
- shape descriptors
- post processing
- max flow min cut
- min cut max flow
- genetic algorithm
- min cut
- simulated annealing
- optimal solution
- image dependent
- image processing
- global minimization