Packt Publishing, 2012 (December). - 340 pages. На англ. языке.Step-by-step tutorials to solve common real-world computer vision problems for desktop or mobile, from augmented reality and number plate recognition to face recognition and 3D head trackingOverview 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.In Detail 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.What you will learn from this book 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 ApproachEach chapter in the book is an individual project and each project is constructed with step-by-step instructions, clearly explained code, and includes the necessary screenshots.Who this book is written 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.
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Apress, 2013. — 229 p. — ISBN: 1430260793.
На англ. языке.
Computer vision is key to technologies like object recognition, shape detection, and depth estimation. OpenCV is an open-source library with over 2500 algorithms that you can use to do all of these, as well as track moving objects, extract 3D models, and overlay augmented reality. It's used by major companies like...
Packt Publishing, 2017. — 305 p. — ISBN 978-1-78439-145-4
Computer vision and machine learning concepts are frequently used in practical computer vision based projects. If you're a novice, this book provides the steps involved in building and deploying an end-to-end application in the domain of computer vision using OpenCV/C++.
It starts with instructions on how to install the...
John Wiley & Sons Ltd., 2014. — 235 p. — ISBN: 978-1118848456.
На англ. языке.
Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries.
Computer Vision is a rapidly expanding area and it is becoming progressively easier for developers to make use of this field due to...
Pact Pablishing, 2013. — 122 p. — ISBN: 1782163921
Learn to capture videos, manipulate images, and track objects with Python using the OpenCV Library
Set up OpenCV, its Python bindings, and optional Kinect drivers on Windows, Mac or Ubuntu
Create an application that tracks and manipulates faces
Identify face regions using normal color images and depth images
O’Reilly Media, 2017. — 1018 p. — ISBN 978-1-491-93799-0
Get started in the rapidly expanding field of computer vision with this practical guide. Written by Adrian Kaehler and Gary Bradski, creator of the open source OpenCV library, this book provides a thorough introduction for developers, academics, roboticists, and hobbyists. You’ll learn what it takes to build applications...
Springer, 2011 — 812 p.
Series: Texts in Computer Science
Editors David Gries, Fred B. Schneider
Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year...