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- Chapter 1. Getting Started
- Chapter 2. Variables and Basic Types
- Chapter 3. Strings, Vectors, and Arrays
- Chapter 4. Expressions
- Chapter 5. Statements
- Chapter 6. Functions
- Chapter 7. Classes
- Chapter 8. The IO Library
- Chapter 9. Sequential Containers
- Chapter 10. Generic Algorithms
- Chapter 11. Associative Containers
- Chapter 12. Dynamic Memory
- Chapter 13. Copy Control
- Chapter 14. Overloaded Operations and Conversions
- Chapter 15. Object-Oriented Programming
- Chapter 16. Templates and Generic Programming
- Chapter 17. Specialized Library Facilities
- Chapter 18. Tools for Large Programs
- Chapter 19. Specialized Tools and Techniques
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- Chapter 1 Overview
- Chapter 2 Introduction to OpenCV
- Chapter 3 Getting to Know OpenCV Data Types
- Chapter 4 Images and Large Array Types
- Chapter 5 Array Operations
- Chapter 6 Drawing and Annotating
- Chapter 7 Functors in OpenCV
- Chapter 8 Image, Video, and Data Files
- Chapter 9 Cross-Platform and Native Windows
- Chapter 10 Filters and Convolution
- Chapter 11 General Image Transforms
- Chapter 12 Image Analysis
- Chapter 13 Histograms and Templates
- Chapter 14 Contours
- Chapter 15 Background Subtraction
- Chapter 16 Keypoints and Descriptors
- Chapter 17 Tracking
- Chapter 18 Camera Models and Calibration
- Chapter 19 Projection and Three-Dimensional Vision
- Chapter 20 The Basics of Machine Learning in OpenCV
- Chapter 21 StatModel: The Standard Model for Learning in OpenCV
- Chapter 22 Object Detection
- Chapter 23 Future of OpenCV
- MIT 算法导论
- 6.042J Mathematics for Computer Science
- 研究并总结深度优先搜索与广度优先搜索(从树和图的角度全面的去看)
- 6.837 Computer Graphics
- 6.006 Introduction to Algorithms
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