Face recognition by using neural network classifiers based on PCA and LDA.
Byung-Joo OhPublished in: SMC (2005)
Keyphrases
- face recognition
- linear discriminant analysis
- principal component analysis
- discriminant analysis
- face images
- pca lda
- subspace methods
- recognition rate
- gabor features
- principle component analysis
- feature extraction
- small sample size
- dimensionality reduction
- orl face
- face databases
- principal components analysis
- method for face recognition
- recognition accuracy
- facial expressions
- dimension reduction
- recognizing faces
- human faces
- computer vision
- subspace analysis
- locality preserving projections
- sparse representation
- linear discriminate analysis
- face representation and recognition
- discriminant information
- linear dimensionality reduction
- independent component analysis
- kernel pca
- kernel principal component analysis
- latent dirichlet allocation
- local binary pattern
- feature space
- face detection
- support vector machine svm
- low dimensional
- lower dimensional
- linear subspace
- high dimensional data
- null space
- subspace learning algorithm
- generalized discriminant analysis
- nonparametric discriminant analysis
- principal components