Shape prior based image segmentation using manifold learning.
Arturo Mendoza QuispeCaroline PetitjeanPublished in: IPTA (2015)
Keyphrases
- manifold learning
- shape prior
- image segmentation
- graph cuts
- diffusion maps
- deformable models
- active contours
- level set
- low dimensional
- shape model
- nonlinear dimensionality reduction
- object segmentation
- dimensionality reduction
- segmentation algorithm
- semi supervised
- dimension reduction
- segmentation method
- feature extraction
- high dimensional
- energy function
- shape variations
- energy functional
- user interaction
- global optimization
- active contour model
- multiscale
- statistical models
- shape representation
- prior knowledge
- bayesian framework
- computer vision
- markov random field
- level set framework
- chan vese model
- image analysis
- high dimensional data
- principal component analysis
- feature space
- image processing
- neural network
- singular value decomposition
- sparse representation
- geodesic distance
- feature vectors