Enhanced Gabor (E-Gabor), Hypersphere-based normalization and Pearson General Kernel-based discriminant analysis for dimension reduction and classification of facial emotions.
A. Sherly AlphonseDejey DharmaPublished in: Expert Syst. Appl. (2017)
Keyphrases
- dimension reduction
- discriminant analysis
- face recognition
- linear discriminant analysis
- feature extraction
- principal component analysis
- gabor wavelets
- kernel discriminant analysis
- feature space
- preprocessing
- partial least squares
- discriminative information
- face images
- fisher criterion
- feature vectors
- support vector machine svm
- support vector machine
- manifold learning
- dimensionality reduction
- kernel pca
- random projections
- facial images
- computer vision
- facial expressions
- fisher discriminant analysis
- pattern recognition
- human faces
- dimension reduction methods
- kernel methods
- support vector
- image classification
- high dimensionality
- image processing
- high dimensional
- high dimensional data
- dimensionality reduction methods
- low dimensional
- null space
- feature selection
- scatter matrices
- principal components
- facial features
- supervised learning
- feature set
- kernel trick
- training samples
- face detection
- singular value decomposition