Enforcement of DNN with LDA-PCA-ELM for PIE Invariant Few-Shot Face Recognition.
Anvaya RaiBrejesh LallAstha ZalaniRaghwender PrakashShikha SrivastavaPublished in: PReMI (2023)
Keyphrases
- face recognition
- linear discriminant analysis
- principal component analysis
- discriminant analysis
- face images
- pca lda
- subspace methods
- principal components analysis
- extreme learning machine
- feature extraction
- gabor features
- principle component analysis
- orl face
- recognition rate
- dimensionality reduction
- dimension reduction
- human faces
- face databases
- recognizing faces
- small sample size
- recognition accuracy
- access control
- extreme learning machines
- method for face recognition
- visual features
- kernel pca
- video sequences
- face recognition algorithms
- independent component analysis
- face detection
- facial images
- subspace analysis
- low dimensional
- high dimensional data
- linear dimensionality reduction
- fisher criterion
- local binary pattern
- support vector
- facial expressions
- video data
- computer vision
- linear subspace
- linear discriminate analysis
- sparse representation
- neural network
- training process
- kernel principal component analysis
- locality preserving projections
- principal components
- key frames
- support vector regression
- support vector machine svm
- discriminant information
- scatter matrix
- image classification
- generalized discriminant analysis
- face representation and recognition
- face verification
- subspace learning