A modularly vectorized two dimensional LDA for face recognition.
HuxidanWanquan LiuChong LuPublished in: ICMLC (2012)
Keyphrases
- face recognition
- linear discriminant analysis
- discriminant analysis
- recognition rate
- three dimensional
- face images
- feature extraction
- principal component analysis
- subspace methods
- small sample size
- multi dimensional
- human faces
- facial images
- recognition accuracy
- face detection
- local binary pattern
- face recognition systems
- dimensionality reduction
- dimension reduction
- nonparametric discriminant analysis
- pose variations
- feature analysis
- kernel discriminant analysis
- sparse representation
- facial expressions
- computer vision
- latent dirichlet allocation
- face databases
- high dimensional data
- gabor features
- input image
- correlation filters
- locality preserving projections
- discriminant vectors
- generalized discriminant analysis
- data sets