High-dimensional discriminant analysis and its application to color face images.
Zhizheng LiangPublished in: ICPR (2) (2006)
Keyphrases
- discriminant analysis
- face images
- face recognition
- high dimensional
- principal component analysis
- face space
- gabor wavelets
- linear discriminant analysis
- feature extraction
- low dimensional
- dimensionality reduction
- human faces
- dimension reduction
- recognition rate
- facial expressions
- feature space
- color space
- face databases
- facial features
- face verification
- image set
- fisher criterion
- high dimensional data
- sparse representation
- face identification
- partial least squares
- face detection
- machine learning
- pattern recognition
- facial images
- feature vectors
- data points
- sparse coding
- input space
- dimensionality reduction methods
- feature points
- high dimensional feature space
- graph embedding
- computer vision
- high resolution
- manifold learning
- training set
- pose variations
- input image
- feature selection
- regression model