A subspace-based Manifold separation technique for array calibration.
Minqiu ChenXi ChenXingpeng MaoPublished in: ISSPIT (2016)
Keyphrases
- low dimensional
- linear subspace
- lower dimensional
- grassmann manifold
- high dimensional
- feature space
- principal component analysis
- manifold learning
- subspace learning
- dimensionality reduction
- camera calibration
- high dimensional data
- locality preserving
- image set
- image space
- subspace clustering
- stochastic gradient
- face recognition
- euclidean space
- multiple views
- hilbert space
- linear array
- input data
- global structure
- subspace clusters
- signal subspace
- locality preserving projections
- gaze estimation
- manifold structure
- riemannian manifolds
- focal length
- vector space
- data points