Randomised Manifold Forests for Principal Angle-Based Face Recognition.
Ujwal D. BondeTae-Kyun KimK. R. RamakrishnanPublished in: ACCV (4) (2010)
Keyphrases
- face recognition
- appearance based face recognition
- linear subspace
- face images
- recognition rate
- discriminant analysis
- human faces
- manifold learning
- face recognition systems
- geometric structure
- manifold structure
- low dimensional
- locality preserving projections
- face detection
- linear discriminant analysis
- facial expressions
- locality preserving
- subspace learning
- face identification
- riemannian manifolds
- computer vision
- feature space
- pose variations
- random forests
- search procedure
- local binary pattern
- principal component analysis
- euclidean space
- recognition accuracy
- sparse representation
- high dimensional
- fisher linear discriminant
- tangent space
- orl face database
- feature extraction