Multilinear principal component analysis for face recognition with fewer features.
Jin WangArmando BarretoLu WangYu ChenNaphtali RisheJean AndrianMalek AdjouadiPublished in: Neurocomputing (2010)
Keyphrases
- principal component analysis
- face recognition
- feature extraction
- feature space
- face images
- principal components
- linear discriminant analysis
- discriminant analysis
- fisher linear discriminant
- dimensionality reduction
- feature set
- feature vectors
- face databases
- computer vision
- locality preserving projections
- neural classifier
- feature representation
- image features
- low level
- higher order
- discriminant features
- dimension reduction
- covariance matrix
- feature analysis
- binary patterns
- method for face recognition
- classification accuracy