Face Recognition by Fisher and Scatter Linear Discriminant Analysis.
Miroslaw BoberKrzysztof KucharskiWladyslaw SkarbekPublished in: CAIP (2003)
Keyphrases
- linear discriminant analysis
- face recognition
- linear discriminant
- fisher criterion
- discriminant analysis
- class separability
- small sample size
- dimensionality reduction
- dimension reduction
- discriminant features
- principal component analysis
- face images
- feature extraction
- recognition rate
- high dimensional data
- facial images
- null space
- recognition accuracy
- support vector machine svm
- kernel discriminant analysis
- discriminative information
- discriminant vectors
- gabor features
- face databases
- scatter matrix
- generalized discriminant analysis
- feature analysis
- subspace methods
- subspace learning
- face verification
- pose variations
- sparse representation
- face detection
- support vector
- image processing
- computer vision
- kernel pca
- gabor wavelets
- singular value decomposition
- locality preserving projections
- human faces
- least squares
- facial expressions
- pca lda