Manifold learning for face recognition under changing illumination.
Birkan TunçMuhittin GökmenPublished in: Telecommun. Syst. (2011)
Keyphrases
- manifold learning
- changing illumination
- face recognition
- illumination conditions
- sparse representation
- discriminant embedding
- feature extraction
- dimensionality reduction
- low dimensional
- linear discriminant analysis
- background clutter
- semi supervised
- principal component analysis
- face images
- high dimensional
- dimension reduction
- foreground objects
- human faces
- high dimensional data
- feature space
- face detection
- light source
- image patches
- facial expressions
- data sets
- lighting conditions
- image classification
- d objects
- feature vectors
- subspace methods
- preprocessing
- computer vision