Class-specific kernel linear regression classification for face recognition under low-resolution and illumination variation conditions.
Yang-Ting ChouShih-Ming HuangJar-Ferr YangPublished in: EURASIP J. Adv. Signal Process. (2016)
Keyphrases
- low resolution
- face images
- class specific
- linear regression
- illumination variations
- face recognition
- high resolution
- feature extraction
- feature vectors
- super resolution
- image classification
- least squares
- human faces
- dictionary learning
- sparse representation
- facial expressions
- training set
- test images
- principal component analysis
- feature space
- high quality
- input image
- object categories
- image patches
- object class
- superpixels
- illumination conditions
- computer vision
- support vector
- support vector machine
- machine learning
- decision trees
- light source
- object tracking
- lighting conditions
- visual tracking
- face detection
- em algorithm
- object detection
- feature selection
- viewpoint