Using statistical characteristics of gradient phases for robust face recognition under illumination variations.
Ching-Yao SuJar-Ferr YangPublished in: IET Comput. Vis. (2015)
Keyphrases
- robust face recognition
- illumination variations
- illumination normalization
- face recognition
- face recognition systems
- face recognition algorithms
- partial occlusion
- face images
- object tracking
- illumination conditions
- feature analysis
- image matching
- varying illumination
- sparse coding
- gabor features
- lighting conditions
- face verification
- subspace learning
- decision trees
- feature extraction
- facial expressions
- pixel level
- dimensionality reduction
- face databases
- sparse representation
- input image