Enhancing Convolutional Neural Networks for Face Recognition with Occlusion Maps and Batch Triplet Loss.
Daniel Saez-TriguerosLi MengMargaret HartnettPublished in: CoRR (2017)
Keyphrases
- convolutional neural networks
- face recognition
- pose variations
- convolutional network
- illumination variations
- face images
- discriminant analysis
- recognition rate
- computer vision
- linear discriminant analysis
- face detection
- face recognition systems
- ar face database
- human faces
- face databases
- principal component analysis
- partially occluded
- recognition accuracy
- sparse representation based classification
- feature extraction
- sparse representation
- learning algorithm
- keypoints
- multiscale
- background clutter
- face recognition algorithms