Book Image

Mastering OpenCV 3 - Second Edition

By : Jason Saragih
Book Image

Mastering OpenCV 3 - Second Edition

By: Jason 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 (14 chapters)
Title Page
Mastering OpenCV 3 Second Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Using the example code


We can find the example code for SfM with the supporting material of this book. We will now see how we can build, run, and make use of it. The code makes use of CMake, a cross-platform build environment similar to Maven or SCons. We should also make sure that we have all the following prerequisites to build the application:

  • OpenCV v3.0 or higher
  • Ceres v1.11 or higher
  • Boost v1.54 or higher

First, we must set up the build environment. To that end, we may create a folder named build in which all build-related files will go; we will now assume that all command-line operations are within the build/ folder, although the process is similar (up to the locations of the files) even if not using the build folder. We should also make sure that CMake can find boost and Ceres.

If we are using Windows as the operating system, we can use Microsoft Visual Studio to build; therefore, we should run the following command:

cmake -G "Visual Studio 10" 

If we are using Linux, Mac OS, or another...