Book Image

OpenCV 3.x with Python By Example - Second Edition

By : Gabriel Garrido Calvo, Prateek Joshi
Book Image

OpenCV 3.x with Python By Example - Second Edition

By: Gabriel Garrido Calvo, Prateek Joshi

Overview of this book

Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we have more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Focusing on OpenCV 3.x and Python 3.6, this book will walk you through all the building blocks needed to build amazing computer vision applications with ease. We start off by manipulating images using simple filtering and geometric transformations. We then discuss affine and projective transformations and see how we can use them to apply cool advanced manipulations to your photos like resizing them while keeping the content intact or smoothly removing undesired elements. We will then cover techniques of object tracking, body part recognition, and object recognition using advanced techniques of machine learning such as artificial neural network. 3D reconstruction and augmented reality techniques are also included. The book covers popular OpenCV libraries with the help of examples. This book is a practical tutorial that covers various examples at different levels, teaching you about the different functions of OpenCV and their actual implementation. By the end of this book, you will have acquired the skills to use OpenCV and Python to develop real-world computer vision applications.
Table of Contents (17 chapters)
Title Page
Copyright and Credits
Packt Upsell

What is the premise of augmented reality?

Before we jump into all the fun stuff, let's understand what augmented reality means. You will have probably seen the term augmented reality being used in a variety of contexts. So, we should understand the premise of augmented reality before we start discussing the implementation details. Augmented reality refers to the superimposition of computer-generated input, such as imagery, sounds, graphics, and text, on top of the real world.

Augmented reality tries to blur the line between what's real and what's computer-generated by seamlessly merging information and enhancing what we see and feel. It is actually closely related to a concept called mediated reality, where a computer modifies our view of reality. As a result of this, the technology works by enhancing our current perception of reality. Now, the challenge here is to make it look seamless to the user. It's easy to just overlay something on top of the input video, but we need to make it look...