Face Recognition Based on Gabor-Enhanced Manifold Learning and SVM.
Chao WangChengan GuoPublished in: ISNN (2) (2010)
Keyphrases
- manifold learning
- face recognition
- gabor wavelet transform
- feature extraction
- sparse representation
- support vector machine svm
- gabor wavelets
- subspace learning
- discriminant embedding
- low dimensional
- principal component analysis
- discriminant analysis
- dimensionality reduction
- dimension reduction
- feature mapping
- nonlinear dimensionality reduction
- face images
- feature space
- linear discriminant analysis
- locality preserving
- support vector
- recognition rate
- high dimensional
- locality preserving projections
- semi supervised
- diffusion maps
- feature vectors
- manifold structure
- facial expressions
- support vector machine
- facial images
- gabor features
- face detection
- training data
- high dimensional data
- face databases
- head pose estimation
- knn
- preprocessing
- computer vision
- laplacian eigenmaps
- human faces
- machine learning
- feature selection
- subspace methods
- kernel function
- pose variations
- svm classifier
- training set
- data analysis
- linear subspace
- low dimensional manifolds
- image processing
- data mining
- learning algorithm
- texture features