Adaptively weighted sub-pattern PCA for face recognition.
Keren TanSongcan ChenPublished in: Neurocomputing (2005)
Keyphrases
- face recognition
- principal component analysis
- face images
- orl face
- linear discriminant analysis
- principle component analysis
- feature extraction
- discriminant analysis
- face databases
- gabor features
- method for face recognition
- binary patterns
- subspace methods
- recognition rate
- dimensionality reduction
- face recognition systems
- pattern matching
- human faces
- weighting functions
- principal components analysis
- face identification
- handwritten digits
- recognition accuracy
- sparse representation
- face detection
- face representation and recognition
- dimension reduction
- face space
- local binary pattern
- linear dimensionality reduction
- face verification
- recognizing faces
- linear subspace
- elastic bunch graph matching
- high dimensional
- principal components
- covariance matrix
- facial expressions
- kernel pca
- gabor wavelets
- subspace learning
- negative matrix factorization
- pattern discovery
- facial images
- face recognition algorithms
- facial features
- independent component analysis
- pattern recognition
- input image
- training set
- computer vision