Boosting the Face Recognition Performance of Ensemble Based LDA for Pose, Non-uniform Illuminations, and Low-Resolution Images.
Mahmood Ul HaqAamir ShahzadZahid MahmoodAyaz Ali ShahPublished in: KSII Trans. Internet Inf. Syst. (2019)
Keyphrases
- face recognition
- low resolution images
- illumination variations
- low resolution
- face images
- facial images
- ensemble methods
- ensemble learning
- linear discriminant analysis
- pose variations
- base classifiers
- weak learners
- high resolution images
- super resolution
- illumination conditions
- high resolution
- discriminant analysis
- human faces
- subspace methods
- super resolution reconstruction
- face databases
- feature selection
- principal component analysis
- sparse representation
- feature extraction
- weak classifiers
- face recognition systems
- super resolution image reconstruction
- random forests
- learning algorithm
- thermal images
- facial expressions
- correlation filters
- face recognition algorithms
- face detection
- computer vision
- multi class
- facial features
- lighting conditions
- test images
- multi frame
- decision trees
- d objects
- machine learning
- multiscale
- image reconstruction
- spatial resolution