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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

Reconstructing 3D Scenes

In the previous chapter, we learned how a camera captures a 3D scene by projecting light rays on a 2D sensor plane. The image produced is an accurate representation of what the scene looks like from a particular point of view in the instant that the image is captured. However, by its nature, the process of image formation eliminates all of the information concerning the depth of the represented scene elements. This chapter will examine how, under specific conditions, the 3D structure of the scene and the 3D pose of the cameras that captured it can be recovered. We will demonstrate how a good understanding of the concepts of projective geometry allows us to devise methods that enable 3D reconstruction. We will, therefore, revisit the principle of image formation that was introduced in the previous chapter; in particular, we will now take into consideration...

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