Challenges in Real-Life Face Recognition with Heavy Makeup and Occlusions Using Deep Learning Algorithms.
Natalya SelitskayaStanislaw SielickiNikolaos ChristouPublished in: LOD (2) (2020)
Keyphrases
- real life
- face recognition
- learning algorithm
- computer vision
- deep architectures
- pose variations
- subspace learning
- ar face database
- discriminant analysis
- machine learning
- active learning
- training data
- lessons learned
- machine learning algorithms
- real world
- key issues
- learning problems
- human faces
- face detection
- recognition rate
- local binary pattern
- sparse representation
- back propagation
- partial occlusion
- face databases
- face images
- learning scheme
- support vector
- facial expressions
- deep learning
- image sequences
- multi class