Learning OpenCV 3 : computer vision in C++ with the OpenCV library /
"This book provides a working guide to the C++ Open Source Computer Vision Library (OpenCV) version 3.x and gives a general background on the field of computer vision sufficient to help readers use OpenCV effectively."--Preface.
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Beijing ; Boston ; Sebastopol, CA :
O'Reilly Media,
2016 [fourth released 2021].
|
| Edition: | First edition. |
| Subjects: | |
| Classic Catalogue: | View this record in Classic Catalogue |
Table of Contents:
- 1. Overview
- 2. Introduction to OpenCV
- 3. Getting to know OpenCV data types
- 4. Images and Large Array Types
- 5. Array Operations
- 6. Drawing and Annotating
- 7. Functors in OpenCV
- 8. Image, Video, and Data Files
- 9. Cross-Platform and Native Windows
- 10. Filters and Convolution
- 11. General Image Transforms
- 12. Image Analysis
- 13. Histograms and Templates
- 14. Contours
- 15. Background Subtraction
- 16. Keypoints and Descriptors
- 17. Tracking
- 18. Camera Models and Calibration
- 19. Projection and Three-Dimensional Vision
- 20. The Basics of Machine Learning in OpenCV
- 21. StatModel: The Standard Model for Learning in OpenCV
- 22. Object Detection
- 23. Future of OpenCV
- A. Planar Subdivisions
- B. opencv_contrib
- C. Calibration Patterns.