Thickness of Deep Layers in the Fusiform Face Area Predicts Face Recognition.
Rankin W. McGuginAllen T. NewtonBenjamin J. Tamber-RosenauAndrew TomarkenIsabel GauthierPublished in: J. Cogn. Neurosci. (2020)
Keyphrases
- face recognition
- face images
- human faces
- face databases
- facial images
- face recognition systems
- face identification
- facial expressions
- elastic bunch graph matching
- robust face recognition
- recognize faces
- method for face recognition
- multiple layers
- face verification
- pose variations
- face recognition algorithms
- frontal face images
- face analysis
- principal component analysis
- orl database
- recognition rate
- face space
- face matching
- illumination normalization
- illumination variations
- face detection
- discriminant analysis
- linear discriminant analysis
- expression recognition
- facial expression recognition
- recognizing faces
- person identification
- eye detection
- facial features
- illumination conditions
- lighting conditions
- illumination insensitive
- recognition accuracy
- appearance based face recognition
- face representation
- deep belief networks
- human face recognition
- facial recognition
- lip reading
- low resolution face images
- recognition algorithm
- deep learning
- local binary pattern
- multi layer
- linear subspace
- face alignment
- computer vision
- single layer
- sparse representation
- facial surface
- d morphable model
- facial shape
- feature analysis
- labeled faces in the wild
- cross section
- frontal view
- facial pose
- intra personal
- ar face database
- high resolution
- human recognition