Dimensionality reduction for enhanced 3D face recognition.
Anastasios DrosouAlkiviadis TsimpirisDimitris KugiumtzisNikos PorfyriouDimosthenis IoannidisDimitrios TzovarasPublished in: IISA (2013)
Keyphrases
- dimensionality reduction
- high dimensional
- feature extraction
- high dimensional data
- principal component analysis
- low dimensional
- data representation
- face recognition
- principal components
- high dimensionality
- pattern recognition and machine learning
- manifold learning
- facial expressions
- feature space
- data points
- linear discriminant analysis
- pattern recognition
- linear dimensionality reduction
- dimensionality reduction methods
- structured light
- structure preserving
- graph embedding
- feature selection
- pose variations
- neural network
- metric learning
- recognition algorithm
- sparse representation
- three dimensional
- supervised dimensionality reduction