Face Recognition Based on Discriminative Low-Rank Matrix Recovery with Sparse Constraint.
Xue ZhouZhengqun WangZhibo GuoDongling ZhaiPublished in: CIS (2016)
Keyphrases
- low rank matrix recovery
- sparse representation
- face recognition
- robust face recognition
- sparse coding
- dictionary learning
- low rank and sparse
- feature extraction
- signal recovery
- low rank matrix
- low rank
- compressed sensing
- compressive sensing
- face images
- subspace learning
- feature analysis
- image classification
- linear discriminant analysis
- face recognition systems
- random projections
- face recognition algorithms
- computer vision
- semi supervised
- principal component analysis
- image representation
- local binary pattern
- object detection
- sparse matrix
- face identification
- gabor features
- recognition rate
- signal processing
- illumination variations
- high dimensional
- unsupervised learning
- linear subspace
- dimensionality reduction
- least squares
- human faces
- high order
- salient object detection
- convex optimization
- data points