OpenCV 3.x with Python By Example 2nd ed. Edition, Gabriel Garrido, Prateek Joshi

Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions of OpenCV.

Key Features

Learn how to apply complex visual effects to images with OpenCV 3.x and Python

Extract features from an image and use them to develop advanced applications

Build algorithms to help you understand image content and perform visual searches

Get to grips with advanced techniques in OpenCV such as machine learning, artificial neural network, 3D reconstruction, and augmented reality

Book Description

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.

What you will learn

Detect shapes and edges from images and videos

How to apply filters on images and videos

Use different techniques to manipulate and improve images

Extract and manipulate particular parts of images and videos

Track objects or colors from videos

Recognize specific object or faces from images and videos

How to create Augmented Reality applications

Apply artificial neural networks and machine learning to improve object recognition

Who This Book Is For

This book is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV and Python. This book is also useful for generic software developers who want to deploy computer vision applications on the cloud. It would be helpful to have some familiarity with basic mathematical concepts such as vectors, matrices, and so on.

Table of Contents

APPLYING GEOMETRIC TRANSFORMATIONS TO IMAGES

DETECTING EDGES AND APPLYING IMAGE FILTERS

CARTOONIZING AN IMAGE

DETECTING AND TRACKING DIFFERENT BODY PARTS

EXTRACTING FEATURES FROM AN IMAGE

SEAM CARVING

DETECTING SHAPES AND SEGMENTING AN IMAGE

OBJECT TRACKING

OBJECT RECOGNITION

Augmented Reality

Machine learning by artificial neural network

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