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 3

Written by a team of 7 experts, each chapter explores a new aspect of OpenCV to help you make amazing computer-vision aware applications

Project-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 image

Build an OpenCV project natively with Raspberry Pi and cross-compile it for Raspberry Pi.text

Extend the natural feature tracking algorithm to support the tracking of multiple image targets on a video

Use OpenCV 3's new 3D visualization framework to illustrate the 3D scene geometry

Create an application for Automatic Number Plate Recognition (ANPR) using a support vector machine and Artificial Neural Networks

Train and predict pattern-recognition algorithms to decide whether an image is a number plate

Use POSIT for the six degrees of freedom head pose

Train 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

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