Book Image

OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition

By : Robert Laganiere
Book Image

OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition

By: Robert Laganiere

Overview of this book

Making your applications see has never been easier with OpenCV. With it, you can teach your robot how to follow your cat, write a program to correctly identify the members of One Direction, or even help you find the right colors for your redecoration. OpenCV 3 Computer Vision Application Programming Cookbook Third Edition provides a complete introduction to the OpenCV library and explains how to build your first computer vision program. You will be presented with a variety of computer vision algorithms and exposed to important concepts in image and video analysis that will enable you to build your own computer vision applications. This book helps you to get started with the library, and shows you how to install and deploy the OpenCV library to write effective computer vision applications following good programming practices. You will learn how to read and write images and manipulate their pixels. Different techniques for image enhancement and shape analysis will be presented. You will learn how to detect specific image features such as lines, circles or corners. You will be introduced to the concepts of mathematical morphology and image filtering. The most recent methods for image matching and object recognition are described, and you’ll discover how to process video from files or cameras, as well as how to detect and track moving objects. Techniques to achieve camera calibration and perform multiple-view analysis will also be explained. Finally, you’ll also get acquainted with recent approaches in machine learning and object classification.
Table of Contents (21 chapters)
OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

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...