(2D)2PCA+(2D)2LDA: a new feature extraction for face recognition.
Guohong HuangPublished in: ICDIP (2011)
Keyphrases
- face recognition
- feature extraction
- linear discriminant analysis
- principal component analysis
- pca lda
- discriminant analysis
- principle component analysis
- principal components analysis
- face images
- dimension reduction
- dimensionality reduction
- gabor features
- small sample size
- subspace methods
- recognition rate
- local binary pattern
- facial images
- kernel principal component analysis
- face databases
- orl face
- pattern recognition
- feature representation
- null space
- method for face recognition
- discriminant information
- support vector machine svm
- appearance based face recognition
- face detection
- principal components
- recognition accuracy
- gabor wavelets
- feature set
- feature space
- independent component analysis
- support vector
- discriminant projection
- fisher linear discriminant
- covariance matrix
- facial expressions
- face representation
- human faces
- linear discriminate analysis
- feature analysis
- feature vectors
- kernel pca
- image classification
- manifold learning
- extracting features
- subspace learning
- low dimensional
- recognition algorithm
- orl database
- generalized discriminant analysis
- high dimensional data
- computer vision