Block-wise 2D kernel PCA/LDA for face recognition.
Armin EftekhariMohamad ForouzanfarHamid Abrishami MoghaddamJavad AlirezaiePublished in: Inf. Process. Lett. (2010)
Keyphrases
- block wise
- pca lda
- principle component analysis
- face recognition
- linear discriminant analysis
- kernel pca
- feature space
- discriminant analysis
- face databases
- principal component analysis
- feature extraction
- dimension reduction
- support vector
- face images
- independent component analysis
- order statistics
- kernel function
- scatter matrix
- human faces
- lower dimensional
- high dimensional feature space
- computer vision
- kernel methods
- svm classifier
- sparse representation
- low dimensional
- recognition rate
- data sets
- recognition accuracy
- face detection
- image blocks
- dimensionality reduction
- singular value decomposition
- high dimensional data
- signal processing
- null space
- bi level
- video sequences