Two-dimensional reduction PCA: a novel approach for feature extraction, representation, and recognition.
R. M. MuteloLi Chin KhorWai Lok WooSatnam Singh DlayPublished in: Visualization and Data Analysis (2006)
Keyphrases
- feature extraction
- principal component analysis
- feature representation
- face recognition
- preprocessing
- three dimensional
- dimensionality reduction
- feature vectors
- principal components analysis
- extracting features
- principle component analysis
- dimension reduction
- feature space
- appearance based object recognition
- feature fusion
- pattern representation
- pattern recognition
- image processing
- discriminant analysis
- object recognition
- linear discriminant analysis
- feature extractor
- wavelet transform
- image classification
- recognition rate
- support vector machine svm
- manifold learning
- local binary pattern
- wigner distribution
- neural classifier
- texture features
- face representation
- frequency domain
- recognition accuracy
- pattern classification
- gabor features
- feature selection
- feature extraction and classification
- high dimensional
- face images
- kernel principal component analysis
- gait recognition
- texture analysis
- extracted features
- palmprint
- gabor filters
- recognition algorithm
- principal components