Manifold Estimation in View-Based Feature Space for Face Synthesis across Poses.
Xinyu HuangJizhou GaoSen-Ching S. CheungRuigang YangPublished in: ACCV (1) (2009)
Keyphrases
- feature space
- high dimensional
- low dimensional
- manifold learning
- principal component analysis
- pose space
- lower dimensional
- input space
- dimension reduction
- classification accuracy
- multi view
- mean shift
- feature extraction
- pose variations
- high dimensionality
- kernel methods
- appearance based face recognition
- feature selection
- high dimension
- dimensionality reduction
- face images
- riemannian manifolds
- kernel function
- support vector machine
- image retrieval
- feature vectors
- data points
- human faces
- image representation
- sparse coding
- recognition algorithm
- density estimation
- image set
- parameter space
- facial expressions
- embedding space
- high dimensional data