Selection of distinctive sift feature based on its distribution on feature space and local classifier for face recognition.
Tong LiuSung-Hoon KimSung-Kil LimHyon-Soo LeePublished in: Int. Arab J. Inf. Technol. (2013)
Keyphrases
- feature space
- face recognition
- linear discriminant analysis
- image features
- principal component analysis
- generalized discriminant analysis
- feature extraction
- training set
- feature vectors
- feature set
- feature selection
- image retrieval
- mean shift
- training samples
- discriminant analysis
- high dimensional
- high recognition rate
- face images
- sample set
- low dimensional
- input space
- input data
- dimensionality reduction
- high dimensionality
- computer vision
- image representation
- decision trees
- support vector machine
- kernel function
- classification accuracy
- kernel methods
- object recognition
- hyperplane
- selection criterion
- facial images
- discriminating power
- support vector
- keypoints
- data sets
- data points
- human faces
- feature subset
- recognition rate
- linear classifiers
- decision boundary
- multi class
- similarity measure
- training data
- learning algorithm