Manifold learning for 4D CT reconstruction of the lung.
Manfred GeorgRichard SouvenirAndrew HopeRobert PlessPublished in: CVPR Workshops (2008)
Keyphrases
- manifold learning
- ct images
- computed tomography
- lung cancer
- image reconstruction
- ct data
- low dimensional
- nonlinear dimensionality reduction
- diffusion maps
- high dimensional
- dimensionality reduction
- dimension reduction
- manifold learning algorithm
- semi supervised
- three dimensional
- subspace learning
- high dimensional data
- ct scans
- laplacian eigenmaps
- discriminant projection
- medical images
- nonlinear manifold
- feature extraction
- head pose estimation
- medical imaging
- manifold structure
- locally linear embedding
- riemannian manifolds
- pattern recognition
- object recognition
- embedding space
- low dimensional manifolds
- high resolution
- manifold embedding
- data sets
- data points
- sparse representation