Principal component analysis, hidden Markov model, and artificial neural network inspired techniques to recognize faces.
Akarsh AggarwalMohammed AlshehriManoj KumarPurushottam SharmaOsama AlfarrajVikas DeepPublished in: Concurr. Comput. Pract. Exp. (2021)
Keyphrases
- hidden markov models
- recognize faces
- principal component analysis
- face recognition
- artificial neural networks
- facial expressions
- face recognition algorithms
- face images
- linear discriminant analysis
- independent component analysis
- speech recognition
- feature extraction
- dimensionality reduction
- low dimensional
- gesture recognition
- neural network
- conditional random fields
- recognition rate
- viterbi algorithm
- hidden state
- face databases
- sequential data
- face detection
- computer vision
- sparse representation
- recognition accuracy
- genetic algorithm
- face recognition systems
- multiscale
- face identification
- human faces
- feature space
- multi stream
- hidden states
- image processing
- hierarchical hidden markov model