Two-Dimensional-Oriented Linear Discriminant Analysis for Face Recognition.
Muriel VisaniChristophe GarciaJean-Michel JolionPublished in: ICCVG (2004)
Keyphrases
- linear discriminant analysis
- face recognition
- discriminant analysis
- principal component analysis
- dimensionality reduction
- dimension reduction
- face images
- small sample size
- feature extraction
- discriminant features
- support vector
- subspace methods
- linear discriminant
- recognition accuracy
- discriminative information
- face detection
- null space
- face databases
- high dimensional data
- feature space
- fisher criterion
- nonparametric discriminant analysis
- gabor features
- discriminant vectors
- recognition rate
- facial expressions
- facial images
- human faces
- support vector machine svm
- class separability
- kernel discriminant analysis
- qr decomposition
- neural network
- feature analysis
- kernel pca
- scatter matrices
- data analysis
- scatter matrix
- computer vision