Face recognition using shape and texture

Keyphrases

• Dimensionality Reduction 100%
• Reduction Method 100%
• Face Recognition 100%
• Principal Coordinate Analysis (PCoA) 100%
• Fisher Linear Discriminant 100%
• Shape-free 100%
• Encoding Method 50%
• Energy Demand 50%
• Eigenvalues 50%
• Shape Features 50%
• Adequate Representation 50%
• Normalization Method 50%
• Recognition Method 50%
• Texture Shape 50%
• Face Image 50%
• Texture Features 50%
• Spectral Energy 50%
• Discriminant Model 50%
• Mean Shape 50%
• Texture Space 50%
• Augmented Features 50%
• Image Information 50%
• Within-class Scatter Matrix 50%
• Feature Geometry 50%
• Face Coding 50%

Engineering

• Dimensionality 100%
• Principal Components 66%
• Component Analysis 66%
• Fisher Linear Discriminant 66%
• Energy Engineering 33%
• Eigenvalue 33%
• Face Image 33%
• Image Information 33%
• Texture Feature 33%
• Class Scatter Matrix 33%