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OpenCV 4 Computer Vision Application Programming Cookbook

You're reading from   OpenCV 4 Computer Vision Application Programming Cookbook Build complex computer vision applications with OpenCV and C++

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789340723
Length 494 pages
Edition 4th Edition
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Authors (2):
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Robert Laganiere Robert Laganiere
Author Profile Icon Robert Laganiere
Robert Laganiere
David Millán Escrivá David Millán Escrivá
Author Profile Icon David Millán Escrivá
David Millán Escrivá
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Toc

Table of Contents (17) Chapters Close

Preface 1. Playing with Images FREE CHAPTER 2. Manipulating the Pixels 3. Processing Color Images with Classes 4. Counting the Pixels with Histograms 5. Transforming Images with Morphological Operations 6. Filtering the Images 7. Extracting Lines, Contours, and Components 8. Detecting Interest Points 9. Describing and Matching Interest Points 10. Estimating Projective Relations in Images 11. Reconstructing 3D Scenes 12. Processing Video Sequences 13. Tracking Visual Motion 14. Learning from Examples 15. OpenCV Advanced Features 16. Other Books You May Enjoy

Digital image formation

Let's redraw a new version of the diagram shown in Chapter 10, Estimating Projective Relations in Images, describing the pinhole camera model. More specifically, we want to demonstrate the relationship between a point in 3D at its position (X, Y, Z) and its image (x, y) on a camera, specified in pixel coordinates:

Notice the changes that have been made to the original diagram. First, we added a reference frame that we positioned at the center of the projection. Second, we have the y axis pointing downward in order to ensure that the coordinate system is compatible with the usual convention that places the image origin in the upper-left corner of the image. Finally, we also identified a special point on the image plane—considering the line coming from the focal point is orthogonal to the image plane, then the point (u0, v0) is the pixel position...

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