Strengths and weaknesses of deep learning models for face recognition against image degradations.
Klemen GrmVitomir StrucAnais ArtigesMatthieu CaronHazim Kemal EkenelPublished in: IET Biom. (2018)
Keyphrases
- strengths and weaknesses
- learning models
- face recognition
- input image
- advantages and disadvantages
- image features
- segmentation method
- image segmentation
- machine learning
- image classification
- learning tasks
- computer vision
- feature selection
- reinforcement learning
- hidden markov models
- principal component analysis
- face images
- image quality
- learning algorithm