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Solutions Manual Computer Vision A Modern Approach 2nd Edition David A. Forsyth

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Solutions Manual Computer Vision A Modern Approach 2nd Edition David A. Forsyth

Computer Vision: A Modern Approach, 2e, is appropriate for upper-division undergraduate- and graduate-level courses in computer vision found in departments of Computer Science, Computer Engineering and Electrical Engineering.

This textbook provides the most complete treatment of modern computer vision methods by two of the leading authorities in the field. This accessible presentation gives both a general view of the entire computer vision enterprise and also offers sufficient detail for students to be able to build useful applications. Students will learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods

Table of Contents

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

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