Enhancing convolutional neural networks for face recognition with occlusion maps and batch triplet loss.
Daniel Saez-TriguerosLi MengMargaret HartnettPublished in: Image Vis. Comput. (2018)
Keyphrases
- convolutional neural networks
- face recognition
- pose variations
- illumination variations
- convolutional network
- face images
- human faces
- recognition rate
- ar face database
- local binary pattern
- discriminant analysis
- occlusion reasoning
- sparse representation based classification
- partially occluded
- face recognition systems
- lighting conditions
- recognition accuracy
- facial images
- linear discriminant analysis
- sparse representation
- face recognition algorithms
- face detection
- principal component analysis
- computer vision
- cluttered background