Principle component analysis and its variants for biometrics.
Tsuhan ChenYufeng Jessie HsuXiaoming LiuWende ZhangPublished in: ICIP (1) (2002)
Keyphrases
- principle component analysis
- independent component analysis
- dimension reduction
- face recognition
- feature extraction
- lower dimensional
- svm classifier
- covariance matrix
- random projections
- pattern recognition
- feature space
- principal component analysis
- independent components
- principal components analysis
- high dimensional feature space
- principal components
- singular value decomposition
- iris recognition
- subspace methods
- original data
- data sets
- signal processing
- support vector machine
- kernel pca
- high dimensional
- computer vision
- machine learning