This book deals with a case: the elucidation of the intricate and detailed patterns of the human face using the tools of 'pattern theory', of statistical pattern recognition and of differential geometry. It is an outcome of the work at the Harvard Robotics Laboratory in the early 1990s.
Inhaltsverzeichnis
1. Faces from a Pattern-Theoretic Perspective 2. Overview of Approaches to Face Recognition 3. Modeling Variations in Illumination 4. Modeling Variations in Geometry 5. Recognition from Image Data 6. Parabolic Curves and Ridges on Surfaces 7. Sculpting a Surface 8. Finding Facial Features from Range Data 9. Recognition from Range Data 10. What's Next?
