Kernel Grassmannian distances and discriminant analysis for face recognition from image sets.
Tiesheng WangPengfei ShiPublished in: Pattern Recognit. Lett. (2009)
Keyphrases
- discriminant analysis
- image set
- face recognition
- face images
- kernel discriminant analysis
- discriminant subspace
- kernel fisher discriminant analysis
- linear discriminant analysis
- graph embedding
- generalized discriminant analysis
- kernel principal component analysis
- face space
- principal component analysis
- feature extraction
- linear subspace
- image matching
- human faces
- feature space
- kernel pca
- kernel function
- fisher criterion
- distance measure
- face detection
- subspace learning
- discriminant vectors
- kernel methods
- facial expressions
- data representation
- principal components
- data sets
- convex hull
- training samples
- nearest neighbor
- high dimensional
- image processing