Laplacian bidirectional PCA for face recognition.
Wankou YangChangyin SunLei ZhangKarl RicanekPublished in: Neurocomputing (2010)
Keyphrases
- face recognition
- principal component analysis
- face images
- orl face
- principle component analysis
- face databases
- linear discriminant analysis
- feature extraction
- discriminant analysis
- method for face recognition
- human faces
- recognizing faces
- recognition rate
- gabor features
- local binary pattern
- sparse representation
- face detection
- facial expressions
- subspace methods
- face recognition systems
- linear dimensionality reduction
- face verification
- recognition accuracy
- face identification
- face representation and recognition
- principal components
- independent component analysis
- high order
- dimensionality reduction
- facial images
- dimension reduction
- covariance matrix
- face recognition algorithms
- computer vision
- elastic bunch graph matching
- appearance based object recognition
- frontal face images
- edge detection
- fisher linear discriminant
- kernel principal component analysis
- sparse coding
- face space
- subspace analysis
- image classification
- singular value decomposition
- kernel pca
- feature vectors
- orl database
- subspace learning
- training set
- clustering algorithm