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portada Mastering Opencv 3 - Second Edition
Type
Physical Book
Publisher
Author
Year
2017
Language
English
Pages
250
Format
Paperback
ISBN13
9781786467171
Edition No.
2
Categories

Mastering Opencv 3 - Second Edition

Daniel Lelis Baggio; Shervin Emami; David Millan Escriva; Khvedchenia Ievgen; Jason Saragih; Roy Shilkrot (Author) · Packt Publishing · Paperback

Mastering Opencv 3 - Second Edition - Daniel Lelis Baggio; Shervin Emami; David Millan Escriva; Khvedchenia Ievgen; Jason Saragih; Roy Shilkrot

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Synopsis "Mastering Opencv 3 - Second Edition "

Practical Computer Vision ProjectsAbout This BookUpdated 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 problemsWho This Book Is ForThis 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 LearnExecute 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 databaseIn DetailAs we become more capable of handling data in every kind, we are becoming more reliant on visual input and what

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