Two-Dimensional Color Uncorrelated Principal Component Analysis for Feature Extraction with Application to Face Recognition.
Cairong ZhaoDuoqian MiaoPublished in: CCBR (2013)
Keyphrases
- principal component analysis
- feature extraction
- dimension reduction
- dimensionality reduction
- color images
- discriminant analysis
- linear discriminant analysis
- principal components
- face recognition
- independent component analysis
- color information
- three dimensional
- feature space
- low dimensional
- kernel principal component analysis
- image classification
- feature vectors
- neural classifier
- color space
- color correction
- texture classification
- covariance matrix
- preprocessing
- pattern recognition
- lower dimensional
- face images
- image indexing
- fisher linear discriminant
- extracting features
- texture features
- texture analysis
- frequency domain
- wavelet transform
- image processing
- pattern classification
- manifold learning
- local binary pattern
- computer vision
- three dimensional objects
- kernel pca
- support vector machine svm
- multi dimensional
- multiscale
- feature selection