Selecting Kernel Eigenfaces for Face Recognition with One Training Sample Per Subject.
Jie WangKonstantinos N. PlataniotisAnastasios N. VenetsanopoulosPublished in: ICME (2006)
Keyphrases
- training samples
- face recognition
- face images
- feature space
- decision function
- face databases
- facial images
- face recognition algorithms
- principal component analysis
- face space
- human faces
- recognition rate
- training set
- face recognition systems
- face detection
- hyperplane
- high dimensional
- training data
- training examples
- feature extraction
- test sample
- discriminant analysis
- kernel function
- sparse representation
- decision boundary
- supervised learning
- facial expressions
- support vector
- pose variations
- face verification
- fisher linear discriminant
- facial features
- computer vision
- learning algorithm
- test data
- training dataset
- input image
- feature vectors
- feature selection
- pattern classification
- feature set
- base classifiers
- support vectors
- support vector machine
- classification accuracy
- objective function
- machine learning