Face Recognition Using Eigenfaces, Geometrical PCA Approximation and Neural Networks.
Alina L. MachidonOctavian Mihai MachidonPetre L. OgrutanPublished in: TSP (2019)
Keyphrases
- principal component analysis
- neural network
- face databases
- face images
- face recognition
- face space
- facial images
- human faces
- method for face recognition
- principle component analysis
- face recognition algorithms
- recognition rate
- face detection
- face recognition systems
- discriminant analysis
- pattern recognition
- recognition accuracy
- principal components analysis
- facial expressions
- recognition algorithm
- orl database
- face verification
- principal components
- dimension reduction
- facial pose
- independent component analysis
- closed form
- error bounds
- recognizing faces
- fisher linear discriminant
- approximation algorithms
- covariance matrix
- dimensionality reduction
- feature extraction
- pose variations
- face identification
- neural network model
- facial features
- artificial neural networks
- face recognition grand challenge
- euclidian distance
- computer vision
- gabor features
- linear subspace
- feed forward
- linear discriminant analysis
- face model
- neural nets
- face representation
- recurrent neural networks
- multilayer perceptron
- lighting conditions
- fuzzy logic
- feature space
- face representation and recognition