Riemannian-based Discriminant Analysis for Feature Extraction and Classification.
Wanguang YinZhengming MaQuanying LiuPublished in: CoRR (2021)
Keyphrases
- discriminant analysis
- feature extraction and classification
- feature set
- feature extraction
- manifold learning
- face recognition
- feature vectors
- linear discriminant analysis
- feature selection
- image classification
- principal component analysis
- pattern recognition
- feature space
- texture classification
- image processing
- preprocessing
- geodesic distance
- dimension reduction
- factor analysis
- euclidean space
- riemannian manifolds
- shape space
- support vector machine svm
- texture features
- texture analysis
- subspace learning
- data sets
- nearest feature line
- face images
- co occurrence
- object detection
- multiresolution
- object recognition
- computer vision