Block LDA via QR-decomposition for face recognition with single image per person.
Nitin KumarR. K. AgrawalPublished in: Int. J. Knowl. Based Intell. Eng. Syst. (2015)
Keyphrases
- single image
- linear discriminant analysis
- qr decomposition
- face recognition
- discriminant analysis
- scatter matrices
- dimension reduction
- multiple images
- small sample size
- dimensionality reduction
- principal component analysis
- feature extraction
- image pairs
- support vector machine svm
- null space
- face images
- high dimensional data
- light source
- d scene
- support vector
- feature space
- shape from shading
- decomposition method
- super resolution
- sparse representation
- spherical harmonics
- discriminative information
- human faces
- machine learning
- low dimensional
- facial expressions
- singular value decomposition
- subspace learning
- linear subspace
- high dimensional
- data analysis
- feature selection
- d morphable model
- computer vision