Select eigenfaces for face recognition with one training sample per subject.
Jie WangYuantao GuKonstantinos N. PlataniotisAnastasios N. VenetsanopoulosPublished in: ICARCV (2004)
Keyphrases
- training samples
- face recognition
- face images
- face databases
- facial images
- test sample
- face space
- feature space
- face recognition systems
- recognition rate
- principal component analysis
- training data
- face recognition algorithms
- discriminant analysis
- human faces
- hyperplane
- training set
- feature extraction
- pose variations
- sample set
- facial expressions
- decision function
- learning algorithm
- euclidian distance
- linear discriminant analysis
- high dimensional
- facial features
- fisher linear discriminant
- face verification
- face detection
- base classifiers
- training dataset
- training examples
- supervised learning
- computer vision
- sparse representation
- test data
- decision boundary
- image classification
- dimensionality reduction
- multi class
- video sequences