Full Table of Contents

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Chapter List:

• Image Formation
  1. Geometric Camera Models
  2. Light and Shading
  3. Color
• Early Vision: Just One Image
  4. Linear Filters
  5. Local Image Features
  6. Texture
• Early Vision: Multiple Images
  7. Stereopsis
  8. Structure from Motion
• Mid-Level Vision
  9. Segmentation by Clustering
  10. Grouping and Model Fitting
  11. Tracking
• High-Level Vision
  12. Registration
  13. Smooth Surfaces and Their Outlines
  14. Range Data
  15. Learning to Classify
  16. Classifying Images
  17. Detecting Objects in Images
  18. Topics in Object Recognition
• Applications
  19. Image-Based Modeling and Rendering
  20. Looking at People
  21. Image Search and Retrieval
  22. Optimization Techniques
• Bibliography
• Index
• List of Algorithms