Using subclasses in discriminant non-negative subspace learning for facial expression recognition.
Symeon NikitidisAnastasios TefasIoannis PitasPublished in: EUSIPCO (2011)
Keyphrases
- facial expression recognition
- subspace learning
- face recognition
- principal component analysis
- feature extraction
- fisher criterion
- discriminant subspace
- locality preserving projections
- discriminant analysis
- facial expressions
- dimensionality reduction
- low dimensional
- human computer interaction
- manifold learning
- subspace learning algorithm
- local binary pattern
- data representation
- facial images
- human faces
- sparse representation
- face images
- sparse coding
- linear discriminant analysis
- image classification
- head pose estimation
- facial features
- high dimensional data
- high dimensional
- training data
- machine learning
- face detection
- image sequences
- feature selection
- learning algorithm