Regional Covariance Matrix-Based Two-Dimensional PCA for Face Recognition.
Taravichet TitijaroonrojKangsadan HancherngchaiJaratsri RungrattanaubolPublished in: KST (2020)
Keyphrases
- covariance matrix
- principal component analysis
- face recognition
- face images
- covariance matrices
- face databases
- principal components analysis
- principal components
- linear discriminant analysis
- feature extraction
- independent component analysis
- principle component analysis
- dimensionality reduction
- mahalanobis distance
- gaussian mixture
- orl face
- multivariate gaussian
- pseudo inverse
- singular value decomposition
- facial expressions
- geometrical interpretation
- correlation matrix
- kernel pca
- low dimensional
- negative matrix factorization
- feature representation
- eigenvalues and eigenvectors
- computer vision
- sample size
- objective function
- method for face recognition
- subspace methods
- model selection
- symmetric matrix