Acquiring Linear Subspaces for Face Recognition under Variable Lighting.
Kuang-Chih LeeJeffrey HoDavid J. KriegmanPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2005)
Keyphrases
- linear subspace
- face recognition
- low dimensional
- subspace learning
- illumination conditions
- image space
- image set
- face images
- viewpoint
- subspace clustering
- subspace methods
- multiple views
- data sets
- lighting conditions
- spherical harmonics
- principal component analysis
- human faces
- high dimensional
- multi frame
- linear discriminant analysis
- feature extraction
- clustering method
- sparse representation
- natural images
- dimensionality reduction
- semi supervised
- data points
- object recognition
- computer vision