Face Recognition Based on Nonlinear DCT Discriminant Feature Extraction Using Improved Kernel DCV.
Sheng LiYong-Fang YaoXiao-Yuan JingHeng ChangShi-Qiang GaoDavid ZhangJing-Yu YangPublished in: IEICE Trans. Inf. Syst. (2009)
Keyphrases
- discriminant analysis
- face recognition
- discriminant subspace
- feature extraction
- kernel principal component analysis
- kernel fisher discriminant analysis
- kernel pca
- linear discriminant analysis
- principal component analysis
- generalized discriminant analysis
- kernel discriminant analysis
- feature space
- linear dimensionality reduction
- discriminant embedding
- face images
- discriminant vectors
- independent components analysis
- dimensionality reduction
- class separability
- gabor wavelets
- appearance based face recognition
- discrete cosine transform
- preprocessing
- dimension reduction
- support vector
- principal components
- fisher criterion
- discriminant features
- pattern classification
- local binary pattern
- kernel methods
- sparse representation
- recognition rate
- feature vectors
- graph embedding
- discriminant information
- computer vision
- locality preserving projections
- facial images
- frequency domain
- face detection
- kernel function
- dct coefficients
- feature set
- face databases
- discriminant projection
- support vector machine svm
- high dimensional
- wavelet transform
- fisher discriminant
- gabor filters
- feature representation
- linear discriminant
- high dimensional feature space