Subspace segmentation with outliers: A grassmannian approach to the maximum consensus subspace.
Nuno Pinho da SilvaJoão Paulo CosteiraPublished in: CVPR (2008)
Keyphrases
- subspace learning
- low rank representation
- low dimensional
- linear subspace
- principal component analysis
- dimensionality reduction
- high dimensional data
- subspace clustering
- affinity matrix
- level set
- subspace clusters
- segmentation method
- lower dimensional
- feature space
- eigendecomposition
- multibody
- image segmentation
- principal components
- subspace methods
- shape prior
- clustering method
- data points
- outlier rejection
- data sets