An experimental study for the effects of noise on face recognition algorithms under varying illumination.
Guangyi ChenPublished in: Multim. Tools Appl. (2019)
Keyphrases
- varying illumination
- face recognition
- face recognition algorithms
- illumination invariant
- face images
- face recognition systems
- recognition rate
- face databases
- color constancy
- feature extraction
- computer vision
- lighting conditions
- local binary pattern
- illumination conditions
- face detection
- human faces
- recognition accuracy
- facial expressions
- principal component analysis
- illumination variations
- face verification
- linear subspace
- facial images
- subspace learning
- video sequences
- light source
- sparse representation
- multiresolution
- feature vectors