Principal Component Analysis Integrating Mahalanobis Distance for Face Recognition.
Zizhu FanMing NiMeibo ShengZejiu WuBaogen XuPublished in: RVSP (2013)
Keyphrases
- mahalanobis distance
- principal component analysis
- face recognition
- covariance matrix
- face images
- euclidian distance
- linear discriminant analysis
- dimensionality reduction
- discriminant analysis
- euclidean distance
- noise model
- metric learning
- feature extraction
- low dimensional
- feature space
- facial expressions
- fisher linear discriminant
- training set
- sparse representation
- distance metric
- multi dimensional
- data sets
- data points
- pattern recognition
- feature selection