Robust Matrix Regression for Illumination and Occlusion Tolerant Face Recognition.
Jianchun XieJian YangJianjun QianYing TaiPublished in: ICCV Workshops (2015)
Keyphrases
- illumination variations
- face recognition
- partial occlusion
- face images
- robust face recognition
- pose variations
- illumination conditions
- illumination compensation
- illumination normalization
- illumination insensitive
- object tracking
- face recognition systems
- sparse representation
- recognition rate
- image matching
- regression model
- illumination invariant
- varying illumination conditions
- discriminant analysis
- lighting conditions
- illumination change
- face detection
- linear discriminant analysis
- facial expressions
- human faces
- viewpoint
- face recognition algorithms
- principal component analysis
- face databases
- computer vision
- local binary pattern
- singular value decomposition
- model selection
- varying illumination
- feature analysis
- background clutter
- regression algorithm
- facial images
- sparse representation based classification
- face recognition under varying
- human age estimation
- least squares