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Learning OpenCV 4 Computer Vision with Python 3

You're reading from   Learning OpenCV 4 Computer Vision with Python 3 Get to grips with tools, techniques, and algorithms for computer vision and machine learning

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Product type Paperback
Published in Feb 2020
Publisher Packt
ISBN-13 9781789531619
Length 372 pages
Edition 3rd Edition
Languages
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Authors (2):
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Joe Minichino Joe Minichino
Author Profile Icon Joe Minichino
Joe Minichino
Joseph Howse Joseph Howse
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Joseph Howse
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Table of Contents (13) Chapters Close

Preface 1. Setting Up OpenCV 2. Handling Files, Cameras, and GUIs FREE CHAPTER 3. Processing Images with OpenCV 4. Depth Estimation and Segmentation 5. Detecting and Recognizing Faces 6. Retrieving Images and Searching Using Image Descriptors 7. Building Custom Object Detectors 8. Tracking Objects 9. Camera Models and Augmented Reality 10. Introduction to Neural Networks with OpenCV 11. Other Book You May Enjoy Appendix A: Bending Color Space with the Curves Filter

Camera Models and Augmented Reality

If you like geometry, photography, or 3D graphics, then this chapter's topics should especially appeal to you. We will learn about the relationship between 3D space and a 2D projection. We will model this relationship in terms of the basic optical parameters of a camera and lens. Finally, we will apply the same relationship to the task of drawing 3D shapes in an accurate perspective projection. Throughout all of this, we will integrate our previous knowledge of image matching and object tracking in order to track 3D motion of a real-world object whose 2D projection is captured by a camera in real time.

On a practical level, we will build an augmented reality application that uses information about a camera, an object, and motion in order to superimpose 3D graphics on top of a tracked object in real time. To achieve this, we will conquer...

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