If you follow the link for each part, you'll find greater details on the contents of each chapters. Some sample chapters are available, and these are linked. Back to main book page

Front matter, including table of contents, in pdf

Part I: Image Formation and Image Models

1. Cameras
2. Geometric Camera Models
3. Geometric Camera Calibration
4. Radiometry --- Measuring Light
5. Sources, Shadows and Shading
6. Color

Part II: Early Vision: Just One Image

7. Linear Filters
8. Edge Detection
9. Texture

Part III: Early Vision: Multiple Images

10. The Geometry of Multiple Views
11. Stereopsis
12. Affine Structure from Motion
13. Projective Structure from Motion

Part IV: Mid-Level Vision

14. Segmentation by Clustering
15. Segmentation by Fitting a Model
16. Segmentation and Fitting using Probabilistic Methods
17. Tracking with Linear Dynamic Models

Part V: High-level Vision: Geometric Methods

18. Model-Based Vision
19. Smooth Surfaces and their Outlines
20. Aspect Graphs
21. Range Data

Part VI: High-level Vision: Probabilistic and Inferential Methods

22. Finding Templates using Classifiers
23. Recognition by Relations between Templates
24. Geometric Templates from Spatial Relations

Part VII: Applications

25. Application: Finding in Digital Libraries
26. Application: Image-based Rendering

Bibliography

Index

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