Independent comparative study of PCA, ICA, and LDA on the FERET data set.
Kresimir DelacMislav GrgicSonja GrgicPublished in: Int. J. Imaging Syst. Technol. (2005)
Keyphrases
- comparative study
- face recognition
- principal component analysis
- linear discriminant analysis
- data sets
- independent component analysis
- face images
- gabor features
- face databases
- subspace methods
- discriminant analysis
- principle component analysis
- feature extraction
- subspace analysis
- method for face recognition
- human faces
- recognition rate
- principal components analysis
- dimensionality reduction
- pca lda
- dimensionality reduction methods
- linear discriminate analysis
- recognition accuracy
- facial images
- principal components
- small sample size
- face recognition algorithms
- face recognition systems
- face detection
- feret database
- sparse representation
- face verification
- pose variations
- latent dirichlet allocation
- null space
- low dimensional
- linear dimensionality reduction
- dimension reduction
- facial features
- kernel pca
- blind source separation
- topic modeling
- facial expressions
- training data