Multi-view Face Recognition based on Low-rank Features and Sparse Representation Residual Ratio Comparison.
Jianbo ZhouXiaofeng FuXiaojuan FuYu ZhangPublished in: CSAI (2020)
Keyphrases
- multi view
- sparse representation
- low rank
- face recognition
- low rank matrix recovery
- semi supervised
- high dimensional data
- dictionary learning
- sparse coding
- multiple views
- feature extraction
- three dimensional
- d objects
- image classification
- robust face recognition
- linear combination
- missing data
- dimensionality reduction
- test images
- image representation
- matrix factorization
- convex optimization
- image features
- object tracking
- high order
- subspace learning
- bundle adjustment
- low rank matrix
- linear discriminant analysis
- singular value decomposition
- feature vectors
- range images
- feature space
- data sets
- video sequences
- negative matrix factorization
- low rank and sparse
- learning algorithm
- computer vision
- high dimensionality
- recommender systems
- least squares