On optimizing subspaces for face recognition.
Jilin TuXiaoming LiuPeter Henry TuPublished in: ICCV (2009)
Keyphrases
- face recognition
- linear subspace
- principal component analysis
- face space
- discriminant analysis
- face images
- high dimensional data
- subspace analysis
- recognition rate
- high dimensional
- sparse representation
- human faces
- low dimensional
- linear discriminant analysis
- facial images
- local binary pattern
- computer vision
- arbitrarily oriented
- face recognition systems
- face identification
- feature extraction
- face verification
- feature representation
- face databases
- infrared
- subspace learning
- gabor features
- image space
- face recognition algorithms
- robust face recognition
- canonical correlations
- grassmann manifold
- thermal infrared
- data sets