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

Summary


In this chapter, we have built a simple face tracker that can work reasonably in constrained settings using only modest mathematical tools and OpenCV's substantial functionality for basic image processing and linear algebraic operations. Improvements to this simple tracker can be achieved by employing more sophisticated techniques in each of the three components of the tracker: the shape model, the feature detectors, and the fitting algorithm. The modular design of the tracker described in this section should allow these three components to be modified without substantial disruptions to the functionality of the others.