Face recognition based on LDA in manifold subspace.
Hung Phuoc TruongTue-Minh Dinh VoThai Hoang LePublished in: EAI Endorsed Trans. Context aware Syst. Appl. (2016)
Keyphrases
- face recognition
- linear subspace
- linear discriminant analysis
- subspace methods
- locality preserving projections
- principal component analysis
- low dimensional
- discriminant information
- lower dimensional
- dimensionality reduction
- subspace analysis
- subspace learning
- locality preserving
- face images
- discriminant analysis
- recognition rate
- appearance based face recognition
- manifold learning
- high dimensional data
- high dimensional
- sparse representation
- small sample size
- grassmann manifold
- face databases
- human faces
- feature extraction
- face detection
- facial expressions
- facial images
- dimension reduction
- feature space
- recognition accuracy
- linear dimensionality reduction
- nonparametric discriminant analysis
- image space
- image set
- graph embedding
- gabor features
- null space
- riemannian manifolds
- scatter matrices
- computer vision
- manifold structure
- kernel pca
- face verification
- subspace clustering