Contents

 
• List of Figures
• Introduction
  • Problem Statement
  • Approach
  • Applications
  • Outline
• Previous Work
  • Triangulation Methods
  • Kalman Filtering
  • Feature-Based Methods
  • Sensor Inversion
  • Visual Attention
• Learning Landmarks
  • Edge Detection
  • Feature Interpretation
  • Landmark Detection
• Visual Tracking
  • Landmark Recognition
  • Landmark Tracking
  • Example: A Small Database
• Position Estimation
  • Estimation by Linear Combination
  • Robust Estimate Combination
    • Estimating Error
    • Removing Outliers
• Experimental Results
  • A Simple Scene
  • Parameter Variation
    • Appearance-only Pose Estimates
    • Using the Edge Distribution
  • A Larger Scene
  • Two Indoor Scenes
    • A Laboratory Environment
    • Laboratory Environment Revisited
  • Recovering Orientation
• Discussion and Conclusions
  • Overview
  • Landmarks
  • Pose Estimation
  • Experimental Results
  • Future Work
    • Visual Attention
    • Visual Tracking
    • Parameterisation Properties
  • Conclusion
• References
• About this document ...