OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition

Robert Laganiere

• Publisher: Packt Publishing
• Year: 2017
• ISBN:
  9781786469113
• Edition: 3
• Topic: Computer Science
• Subtopic: Computer Vision & Pattern Recognition
• Index: Computer Science

Recipes to help you build computer vision applications that make the most of the popular C++ library OpenCV 3About This Book• Written to the latest, gold-standard specification of OpenCV 3• Master OpenCV, the open source library of the computer vision community• Master fundamental concepts in computer vision and image processing• Learn about the important classes and functions of OpenCV with complete working examples applied to real imagesWho This Book Is ForOpenCV 3 Computer Vision Application Programming Cookbook Third Edition is appropriate for novice C++ programmers who want to learn how to use the OpenCV library to build computer vision applications. It is also suitable for professional software developers who wish to be introduced to the concepts of computer vision programming. It can also be used as a companion book for university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision.What You Will Learn• Install and create a program using the OpenCV library• Process an image by manipulating its pixels• Analyze an image using histograms• Segment images into homogenous regions and extract meaningful objects• Apply image filters to enhance image content• Exploit the image geometry in order to relay different views of a pictured scene• Calibrate the camera from different image observations• Detect people and objects in images using machine learning techniques• Reconstruct a 3D scene from imagesIn DetailMaking 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.Style and approachThis book will arm you with the basics you need to start writing world-aware applications right from a pixel level all the way through to processing video sequences.

OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition

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OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition

Copyright © 2017 Packt Publishing

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First published: May 2011

Second edition: August 2014

Third edition: February 2017

Production reference: 1070217

Published by Packt Publishing Ltd.

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ISBN 978-1-78646-971-7

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Credits

Author Robert Laganiere	Copy Editor Safis Editing
Reviewer Luca Del Tongo	Project Coordinator Ulhas Kambali
Commissioning Editor Edward Gordon	Proofreader Safis Editing
Acquisition Editor Nitin Dasan	Indexer Tejal Daruwale Soni
Content Development Editor Nikhil Borkar	Graphics Kirk D'Penha Jason Monteiro
Technical Editor Subhalaxmi Nadar	Production Coordinator Shantanu Zagade

About the Author

Robert Laganiere is a professor at the School of Electrical Engineering and Computer Science of the University of Ottawa, Canada. He is also a faculty member of the VIVA research lab and is the co-author of several scientific publications and patents in content-based video analysis, visual surveillance, driver-assistance, object detection, and tracking. Robert authored the OpenCV2 Computer Vision Application Programming Cookbook in 2011 and co-authored Object Oriented Software Development published by McGraw Hill in 2001. He co-founded Visual Cortek in 2006, an Ottawa-based video analytics startup that was later acquired by http://iwatchlife.com/ in 2009. He is also a consultant in computer vision and has assumed the role of Chief Scientist in a number of startups companies such as Cognivue Corp, iWatchlife, and Tempo Analytics. Robert has a Bachelor of Electrical Engineering degree from Ecole Polytechnique in Montreal (1987) and MSc and PhD degrees from INRS-Telecommunications, Montreal (1996). Visit the author’s website at http://www.laganiere.name/.

I wish to thank all my students at the VIVA lab; I learn so much from them.

About the Reviewer

Luca Del Tongo is a computer engineer with a strong passion for algorithms, computer vision, and image processing techniques. He's the coauthor of a free e-book called Data Structures and Algorithms (DSA) with over 100k downloads so far and has published several image processing tutorials on his YouTube channel using Emgu CV. During his master's thesis, he developed an image forensic algorithm published in a scientific paper called Copy Move forgery detection and localization by means of robust clustering with J-Linkage. Currently, Luca works as a software engineer in the ophthalmology field developing corneal topography, processing algorithms, IOL calculation, and computerized chart projector. He loves to play sport and follow MOOC courses in his spare time.

You can contact him through his blog at http://blogs.ugidotnet.org/wetblog.

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Preface

Augmented reality, driving assistance, video monitoring; more and more applications are now using computer vision and image analysis technologies, and yet we are still in the infancy of the development of new computerized systems capable of understanding our worlds through the sense of vision. And with the advent of powerful and affordable computing devices and visual sensors, it has never been easier to create sophisticated imaging applications. A multitude of software tools and libraries manipulating images and videos are available, but for anyone who wishes to develop smart vision-based applications, the OpenCV library is the tool to use. OpenCV (Open source Computer Vision) is an open source library containing more than 500 optimized algorithms for image and video analysis. Since its introduction in 1999, it has been largely adopted as the primary development tool by the community of researchers and developers in computer vision. OpenCV was originally developed at Intel by a team led by Gary Bradski as an initiative to advance research in vision and promote the development of rich vision-based, CPU-intensive applications. After a series of beta releases, version 1.0 was launched in 2006. A second major release occurred in 2009 with the launch of OpenCV 2 that proposed important changes, especially the new C++ interface, which we use in this book. In 2012, OpenCV reshaped itself as a non-profit foundation (http://opencv.org/) relying on crowdfunding for its future development. OpenCV3 was introduced in 2013; changes were made mainly to improve the usability of library. Its structure has been revised to remove the unnecessary dependencies, large modules have been split into smaller ones and the API has been refined. This book is the third edition of the OpenCV Computer Vision Application Programming Cookbook and the first one that covers OpenCV version 3. All the programming recipes of the previous editions have been reviewed and updated. We also have added new content and new chapters to provide readers with even better coverage of the essential functionalities of the library. This book covers many of the library’s features and explains how to use them to accomplish specific tasks. Our objective is not to provide detailed coverage of every option offered by the OpenCV functions and classes but rather to give you the elements you need to build your applications from the ground up. We also explore, in this book, fundamental concepts in image analysis and we describe some of the important algorithms in computer vision. This book is an opportunity for you to get introduced to the world of image and video analysis. But this is just the beginning. The good news is that OpenCV continues to evolve and expand. Just consult the OpenCV online documentation at http://opencv.org/ to stay updated about what the library can do for you. You can also visit the author’s website at http://www...