Simultaneous Identity and Expression Recognition Using Face Geometry on Low Dimensional Manifolds.
Pedro MartinsJorge P. BatistaPublished in: IbPRIA (2009)
Keyphrases
- low dimensional manifolds
- face images
- manifold learning
- low dimensional
- intrinsic dimensionality
- face recognition
- human faces
- facial expressions
- high dimensional
- nonlinear dimensionality reduction
- high dimensional data
- face databases
- feature vectors
- subspace methods
- facial features
- pose variations
- data points
- input image
- principal component analysis
- laplacian eigenmaps
- high resolution
- feature extraction
- training set
- facial images
- probabilistic model
- kernel pca
- data analysis
- image set
- dimension reduction
- semi supervised
- linear combination
- recognition rate
- dimensionality reduction