Improved Principal Component Regression for Face Recognition Under Illumination Variations.
Shih-Ming HuangJar-Ferr YangPublished in: IEEE Signal Process. Lett. (2012)
Keyphrases
- illumination variations
- face recognition
- face images
- principal component regression
- face recognition systems
- illumination compensation
- face recognition algorithms
- object tracking
- principal component analysis
- illumination normalization
- illumination conditions
- lighting conditions
- image matching
- human faces
- linear discriminant analysis
- principal components
- sparse representation
- discriminant analysis
- face detection
- partial occlusion
- partial least squares
- facial expressions
- feature extraction
- robust face recognition
- light source
- pixel level
- viewpoint
- training set