Tracking Facial Features Using Cluster of Point Distribution Models

Keyphrases

• Facial Features 100%
• Point Clustering 100%
• Point Distribution Model 100%
• Eye Tracking 50%
• Nonlinearity 50%
• Rutgers 50%
• Head Rotation 50%
• Dynamic Analysis 50%
• Security Applications 50%
• Time Tracking 50%
• Processing Speed 50%
• Medical Applications 50%
• Long Head 50%
• Intellectual Property 50%
• Homeland Security 50%
• Intellectual Development 50%
• Entertainment Products 50%
• Nonlinear Manifold 50%
• Head Turn 50%
• Shape Tracking 50%
• Pose Prediction 50%
• Property Status 50%
• Market Application 50%
• Development Status 50%
• Property Development 50%
• Product Advantage 50%
• Product Placement 50%
• Head Shape 50%
• Expression Recognition 50%
• Piecewise Linear Surface 50%
• Shape Registration 50%
• Near Real-time Processing 50%
• Driver Attention 50%
• Application Monitoring 50%

Engineering

• Point Distribution 100%
• Medical Applications 100%
• Distribution Model 100%
• Application Monitoring 100%
• Processing Rate 100%
• Linear Manifold 100%
• Shape Registration 100%
• Nonlinearity 100%

Computer Science

• Facial Feature 100%
• Distribution Point 100%
• Dynamic Analysis 50%
• Security Application 50%
• Homeland Security 50%
• Monitoring Application 50%
• Time Processing 50%
• piecewise linear 50%
• Game Application 50%
• Expression Recognition 50%
• Shape Registration 50%
• Medical Applications 50%