OpenCV 4 Computer Vision Application Programming Cookbook: Build complex computer vision applications with OpenCV and C++, 4th Edition (English Edition)

Discover interesting recipes to help you understand the concepts of object detection, image processing, and facial detection

Key Features

Explore the latest features and APIs in OpenCV 4 and build computer vision algorithms

Develop effective, robust, and fail-safe vision for your applications

Build computer vision algorithms with machine learning capabilities

Book Description

OpenCV is an image and video processing library used for all types of image and video analysis. Throughout the book, you'll work through recipes that implement a variety of tasks, such as facial recognition and detection. With 70 self-contained tutorials, this book examines common pain points and best practices for computer vision (CV) developers. Each recipe addresses a specific problem and offers a proven, best-practice solution with insights into how it works, so that you can copy the code and configuration files and modify them to suit your needs.

This book begins by setting up OpenCV, and explains how to manipulate pixels. You'll understand how you can process images with classes and count pixels with histograms. You'll also learn detecting, describing, and matching interest points. As you advance through the chapters, you'll get to grips with estimating projective relations in images, reconstructing 3D scenes, processing video sequences, and tracking visual motion. In the final chapters, you'll cover deep learning concepts such as face and object detection.

By the end of the book, you'll be able to confidently implement a range to computer vision algorithms to meet the technical requirements of your complex CV projects

What you will learn

Install and create a program using the OpenCV library

Segment images into homogenous regions and extract meaningful objects

Apply image filters to enhance image content

Exploit image geometry to relay different views of a pictured scene

Calibrate the camera from different image observations

Detect people and objects in images using machine learning techniques

Reconstruct a 3D scene from images

Explore face detection using deep learning

Who this book is for

If you’re a CV developer or professional who already uses or would like to use OpenCV for building computer vision software, this book is for you. You’ll also find this book useful if you’re a C++ programmer looking to extend your computer vision skillset by learning OpenCV. Table of Contents

Introduction to OpenCV

Manipulating the pixels

Processing Images with Classes

Counting the Pixels with Histograms

Transforming images with morphological operations

Filtering the images

Extracting Lines, Contours, and Components

Detecting interest points

Describing and Matching interest Points

Estimating projective relations in images

Reconstructing 3D scenes

Processing video sequences

Tracking visual motion

Learning from Examples

OpenCV Advanced features

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