Deep convolution neural network with stacks of multi-scale convolutional layer block using triplet of faces for face recognition in the wild.
Bong-Nam KangYonghyun KimDaijin KimPublished in: SMC (2016)
Keyphrases
- face recognition
- neural network
- multiscale
- local binary pattern
- face images
- multi layer
- human faces
- deep learning
- network architecture
- single layer
- multiple layers
- face identification
- face recognition systems
- recognizing faces
- recognition rate
- face databases
- unsupervised feature learning
- image processing
- method based on wavelet
- discriminant analysis
- pose variations
- sparse representation
- neural network model
- facial expressions
- face recognition algorithms
- feature extraction
- orl database
- face verification
- sparse coding
- deep belief networks
- restricted boltzmann machine
- back propagation
- facial images
- artificial neural networks
- linear discriminant analysis
- natural images
- frontal face images
- computer vision
- wavelet transform
- face detection
- facial pose
- principal component analysis
- activation function
- orthogonal basis
- face analysis
- face space
- recognize faces
- image representation
- frontal view
- neural nets
- coarse to fine
- recurrent neural networks
- line drawings
- feed forward
- facial features
- scale space
- image segmentation
- learning algorithm