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OpenCV 3 Computer Vision Application Programming Cookbook

You're reading from   OpenCV 3 Computer Vision Application Programming Cookbook Recipes to make your applications see

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786469717
Length 474 pages
Edition 3rd Edition
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Author (1):
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Robert Laganiere Robert Laganiere
Author Profile Icon Robert Laganiere
Robert Laganiere
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Table of Contents (15) Chapters Close

Preface 1. Playing with Images FREE CHAPTER 2. Manipulating Pixels 3. Processing the Colors of an Image 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

Computing depth from stereo image


Humans view the world in three dimensions using their two eyes. Robots can do the same when they are equipped with two cameras. This is called stereovision. A stereo rig is a pair of cameras mounted on a device, looking at the same scene and separated by a fixed baseline (distance between the two cameras). This recipe will show you how a depth map can be computed from two stereo images by computing dense correspondence between the two views.

Getting ready

A stereovision system is generally made of two side-by-side cameras looking at the same direction. The following figure illustrates such a stereo system in a perfectly aligned configuration:

Under this ideal configuration the cameras are only separated by a horizontal translation and therefore all epipolar lines are horizontal. This means that corresponding points have the same y coordinates, which reduces the search for matches to a 1D line. The difference in their x coordinates depends on the depth of...

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