Gradient-Orientation-Based PCA Subspace for Novel Face Recognition.
Gheorghita GhineaRajkumar KannanSuresh KannaiyanPublished in: IEEE Access (2014)
Keyphrases
- principal component analysis
- face recognition
- gradient orientation
- linear subspace
- binary patterns
- subspace methods
- face images
- subspace learning
- subspace analysis
- low dimensional
- dimensionality reduction
- linear discriminant analysis
- feature extraction
- face databases
- face space
- lower dimensional
- discriminant analysis
- principal components
- principal components analysis
- locality preserving projections
- orl face
- recognition rate
- principle component analysis
- kernel pca
- linear dimensionality reduction
- local binary pattern
- independent component analysis
- human faces
- face detection
- sparse representation
- gabor features
- feature space
- facial images
- discriminant information
- subspace learning algorithm
- facial expressions
- computer vision
- recognizing faces
- high dimensional data
- covariance matrix
- face verification
- multiresolution
- image set
- manifold learning