Shilkrot Roy Shilkrot – författare

Practical Computer Vision Projects

About This Book

Updated for OpenCV 3, this book covers new features that will help you unlock the full potential of OpenCV 3Written by a team of 7 experts, each chapter explores a new aspect of OpenCV to help you make amazing computer-vision aware applicationsProject-based approach with each chapter being a complete tutorial, showing you how to apply OpenCV to solve complete problems

Who This Book Is For

This book is for those who have a basic knowledge of OpenCV and are competent C++ programmers. You need to have an understanding of some of the more theoretical/mathematical concepts, as we move quite quickly throughout the book.

What You Will Learn

Execute basic image processing operations and cartoonify an imageBuild an OpenCV project natively with Raspberry Pi and cross-compile it for Raspberry Pi.textExtend the natural feature tracking algorithm to support the tracking of multiple image targets on a videoUse OpenCV 3''s new 3D visualization framework to illustrate the 3D scene geometryCreate an application for Automatic Number Plate Recognition (ANPR) using a support vector machine and Artificial Neural NetworksTrain and predict pattern-recognition algorithms to decide whether an image is a number plateUse POSIT for the six degrees of freedom head poseTrain a face recognition database using deep learning and recognize faces from that database

In Detail

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.

Style and approach

This book takes a project-based approach and helps you learn about the new features by putting them to work by implementing them in your own projects.

Work on practical computer vision projects covering advanced object detector techniques and modern deep learning and machine learning algorithms

Key Features

Learn about the new features that help unlock the full potential of OpenCV 4Build face detection applications with a cascade classifier using face landmarksCreate an optical character recognition (OCR) model using deep learning and convolutional neural networks

Book Description

Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in computer vision such as face recognition, landmark detection and pose estimation, and number recognition with deep convolutional networks.

You’ll learn from experienced OpenCV experts how to implement computer vision products and projects both in academia and industry in a comfortable package. You’ll get acquainted with API functionality and gain insights into design choices in a complete computer vision project. You’ll also go beyond the basics of computer vision to implement solutions for complex image processing projects.

By the end of the book, you will have created various working prototypes with the help of projects in the book and be well versed with the new features of OpenCV4.

What you will learn

Build real-world computer vision problems with working OpenCV code samplesUncover best practices in engineering and maintaining OpenCV projectsExplore algorithmic design approaches for complex computer vision tasksWork with OpenCV’s most updated API (v4.0.0) through projectsUnderstand 3D scene reconstruction and Structure from Motion (SfM)Study camera calibration and overlay AR using the ArUco Module

Who this book is for

This book is for those who have a basic knowledge of OpenCV and are competent C++ programmers. You need to have an understanding of some of the more theoretical/mathematical concepts, as we move quite quickly throughout the book.