Mastering OpenCV with Practical Computer Vision Projects: This is the definitive advanced tutorial for OpenCV, designed for those with basic C++ skills. The computer vision projects are divided into easily assimilated chapters with an emphasis on practical involvement for an easier learning curve.

$48.99

4.2 (17 Ratings)

Paperback Dec 2012 340 pages 1st Edition

$48.99

Paperback Dec 2012 340 pages 1st Edition

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Key benefits

Allows anyone with basic OpenCV experience to rapidly obtain skills in many computer vision topics, for research or commercial use
Each chapter is a separate project covering a computer vision problem, written by a professional with proven experience on that topic
All projects include a step-by-step tutorial and full source-code, using the C++ interface of OpenCV

Description

Computer Vision is fast becoming an important technology and is used in Mars robots, national security systems, automated factories, driver-less cars, and medical image analysis to new forms of human-computer interaction. OpenCV is the most common library for computer vision, providing hundreds of complex and fast algorithms. But it has a steep learning curve and limited in-depth tutorials.Mastering OpenCV with Practical Computer Vision Projects is the perfect book for developers with just basic OpenCV skills who want to try practical computer vision projects, as well as the seasoned OpenCV experts who want to add more Computer Vision topics to their skill set or gain more experience with OpenCV's new C++ interface before migrating from the C API to the C++ API.Each chapter is a separate project including the necessary background knowledge, so try them all one-by-one or jump straight to the projects you're most interested in.Create working prototypes from this book including real-time mobile apps, Augmented Reality, 3D shape from video, or track faces & eyes, fluid wall using Kinect, number plate recognition and so on. Mastering OpenCV with Practical Computer Vision Projects gives you rapid training in nine computer vision areas with useful projects.

Who is this book for?

You should have basic OpenCV and C/C++ programming experience before reading this book, as it is aimed at Computer Science graduates, researchers, and computer vision experts widening their expertise.

What you will learn

Perform Face Analysis including simple Face & Eye & Skin Detection, Fisherfaces Face Recognition, 3D Head Orientation, complex Facial Feature Tracking.
Do Number Plate Detection and Optical Character Recognition (OCR) using Artificial Intelligence (AI) methods including SVMs and Neural Networks
Learn Augmented Reality for desktop and iPhone or iPad using simple artificial markers or complex markerless natural images
Generate a 3D object model by moving a plain 2D camera, using 3D Structure from Motion (SfM) camera reprojection methods
Redesign desktop real-time computer vision applications to more suitable Android & iOS mobile apps
Use simple image filter effects including cartoon, sketch, paint, and alien effects
Execute Human-Computer Interaction with an XBox Kinect sensor using the whole body as a dynamic input

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Amazon verified reviews

Marco Jul 20, 2013

Wirklich gute Beispiele, hervorragendes Praxisbuch! Genau was man braucht um zu Arbeiten - keine überflüssigen Abschriften von Hilfedateien oder Funktionsbeschreibungen sondern praxisnahe Beispiele an denen man sich orientieren kann

Amazon Verified review

Sreejith.M Jan 29, 2017

One of the best book to learn opencv and computer vision. Highly recommended

Amazon Customer Sep 03, 2013

A person, totally unaware of CV or image processing have created an AR application for iOS for a week. IMHO, incredible.

Jose I. Miranda Nov 29, 2013

This is the book I was looking for advanced projects with OpenCV 2. Really. It brings the best related to the most recent issues on face and character recognition.

Kevin Feb 26, 2014

Of all the book reviews I’ve done this is the most genuine because I actually found this book useful for work I was doing. They found the right level of being technically interesting, robust and substantial all the while without being too daunting. The source code that accompanies this book is great and I still check back to it when starting new projects ([...]). Its well written and won’t take long to read through – I think it is a worthwhile read for anyone doing computer vision work. Program design isn’t something a lot of computer vision researchers / developers think or talk about a lot (at least in my experience) so to see how others lay out the problem can really help with your own work.

Mastering OpenCV with Practical Computer Vision Projects: This is the definitive advanced tutorial for OpenCV, designed for those with basic C++ skills. The computer vision projects are divided into easily assimilated chapters with an emphasis on practical involvement for an easier learning curve.

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