Feature fusion with covariance matrix regularization in face recognition.
Ze LuXudong JiangAlex ChiChung KotPublished in: Signal Process. (2018)
Keyphrases
- covariance matrix
- feature fusion
- face recognition
- principal component analysis
- feature extraction
- subspace learning
- covariance matrices
- multiple features
- dimensionality reduction methods
- discriminant analysis
- linear discriminant analysis
- sample size
- principal components
- recognition rate
- principal components analysis
- sparse representation
- data reduction
- low dimensional
- dimensionality reduction
- objective function
- high dimensional data
- feature space
- fusion algorithm
- single feature
- data fusion
- upper bound
- multi sensor
- feature vectors
- genetic algorithm
- feature selection
- computer vision