Mastering Opencv 3

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