Discriminant Analysis of Principal Components for Face Recognition.
Wen-Yi ZhaoRama ChellappaArvind KrishnaswamyPublished in: FG (1998)
Keyphrases
- discriminant analysis
- principal components
- principal component analysis
- face recognition
- linear discriminant analysis
- dimensionality reduction
- face images
- feature extraction
- factor analysis
- dimension reduction
- gabor wavelets
- low dimensional
- face databases
- kernel principal component analysis
- partial least squares
- dimensionality reduction methods
- principal components analysis
- fisher criterion
- feature space
- kernel discriminant analysis
- independent component analysis
- covariance matrix
- face detection
- hyperplane
- subspace learning
- locality preserving projections
- face space
- subspace methods
- discriminant vectors
- computer vision
- singular value decomposition
- sparse representation
- kernel pca
- face verification
- cluster analysis
- null space
- unsupervised learning
- pattern recognition
- neural network
- generalized discriminant analysis