Two-dimensional subspace classifiers for face recognition.
Hakan CevikalpHasan Serhan YavuzMehmet Atif CayAtalay BarkanaPublished in: Neurocomputing (2009)
Keyphrases
- subspace methods
- face recognition
- linear subspace
- subspace learning
- principal component analysis
- linear discriminant analysis
- three dimensional
- subspace analysis
- feature extraction
- training data
- feature selection
- discriminant analysis
- face images
- locality preserving projections
- recognition rate
- decision trees
- support vector
- face space
- training set
- feature space
- test set
- human faces
- face databases
- semi supervised dimensionality reduction
- low dimensional
- computer vision
- support vector machine
- naive bayes
- machine learning algorithms
- face detection
- svm classifier
- probe image
- linear dimensionality reduction
- classification algorithm
- locality preserving
- test sample
- multi dimensional
- sparse representation
- data sets
- linear classifiers
- nearest neighbor classifier
- dimensionality reduction
- facial expressions
- feature representation
- high dimensional data
- local binary pattern