Unified Principal Component Analysis with generalized Covariance Matrix for face recognition.
Shiguang ShanBo CaoYu SuLaiyun QingXilin ChenWen GaoPublished in: CVPR (2008)
Keyphrases
- covariance matrix
- principal component analysis
- face recognition
- relative entropy
- covariance matrices
- face images
- discriminant analysis
- linear discriminant analysis
- face databases
- dimensionality reduction
- principal components
- feature extraction
- independent component analysis
- dimension reduction
- eigenvalues and eigenvectors
- gaussian mixture
- mahalanobis distance
- low dimensional
- fisher linear discriminant
- pseudo inverse
- feature space
- geometrical interpretation
- multivariate gaussian
- correlation matrix
- positive definite
- symmetric matrix
- feature representation
- negative matrix factorization
- eigendecomposition
- objective function
- facial expressions
- sparse representation
- sample size
- evolutionary algorithm
- probabilistic model
- class conditional densities