Book Image

Mastering OpenCV 3 - Second Edition

By : Saragih
Book Image

Mastering OpenCV 3 - Second Edition

By: Saragih

Overview of this book

As we become more capable of handling data in every kind, we are becoming more reliant on visual input and what we can do with those self-driving cars, face recognition, and even augmented reality applications and games. This is all powered by Computer Vision. This book will put you straight to work in creating powerful and unique computer vision applications. Each chapter is structured around a central project and deep dives into an important aspect of OpenCV such as facial recognition, image target tracking, making augmented reality applications, the 3D visualization framework, and machine learning. You’ll learn how to make AI that can remember and use neural networks to help your applications learn. By the end of the book, you will have created various working prototypes with the projects in the book and will be well versed with the new features of OpenCV3.
Table of Contents (7 chapters)

What you need for this book

You don't need to have special knowledge in computer vision to read this book, but you should have good C/C++ programming skills and basic experience with OpenCV before reading this book. Readers without experience in OpenCV may wish to read the book Learning OpenCV for an introduction to the OpenCV features, or read OpenCV 2 Cookbook for examples on how to use OpenCV with recommended C/C++ patterns, because this book will show you how to solve real problems, assuming you are already familiar with the basics of OpenCV and C/C++ development.

In addition to C/C++ and OpenCV experience, you will also need a computer, and IDE of your choice (such as Visual Studio, XCode, Eclipse, or QtCreator, running on Windows, Mac, or Linux). Some chapters have further requirements, in particular:

  • To develop an OpenCV program for Raspberry Pi, you will need the Raspberry Pi device, its tools, and basic Raspberry Pi development experience.
  • To develop an iOS app, you will need an iPhone, iPad, or iPod Touch device, iOS development tools (including an Apple computer, XCode IDE, and an Apple Developer Certificate), and basic iOS and Objective-C development experience.
  • Several desktop projects require a webcam connected to your computer. Any common USB webcam should suffice, but a webcam of at least 1 megapixel may be desirable.
  • CMake is used in some projects, including OpenCV itself, to build across operating systems and compilers. A basic understanding of build systems is required, and knowledge of cross-platform building is recommended.

An understanding of linear algebra is expected, such as basic vector and matrix operations, and eigen decomposition.