OpenCV for Secret Agents

Packt Publishing Ltd
3
Free sample

This book is for programmers who want to expand their skills by building fun, smart, and useful systems with OpenCV. The projects are ideal in helping you to think creatively about the uses of computer vision, natural user interfaces, and ubiquitous computers (in your home, car, and hand).
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About the author

Joseph Howse has four first-rate cats; yet, if his books sell well, he could build a menagerie fit for a pharaoh. OpenCV for Secret Agents is Joseph's third book, following OpenCV Computer Vision with Python and Android Application Programming with OpenCV. When not writing books or grooming cats, Joseph is working to grow the augmented reality industry by providing software development and training services through his company, Nummist Media (http://nummist.com).
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4.0
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Additional Information

Publisher
Packt Publishing Ltd
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Published on
Jan 28, 2015
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Pages
302
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ISBN
9781783287383
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Language
English
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Genres
Computers / Computer Vision & Pattern Recognition
Computers / Programming / Open Source
Computers / Social Aspects / Human-Computer Interaction
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Content Protection
This content is DRM free.
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Read Aloud
Available on Android devices
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Gary Bradski
"This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology

Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data.

Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time.

Learning OpenCV will teach any developer or hobbyist to use the framework quickly with the help of hands-on exercises in each chapter. This book includes:A thorough introduction to OpenCVGetting input from camerasTransforming imagesSegmenting images and shape matchingPattern recognition, including face detectionTracking and motion in 2 and 3 dimensions3D reconstruction from stereo visionMachine learning algorithms

Getting machines to see is a challenging but entertaining goal. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book you need to get started.

Joseph Howse
Create four mobile apps and explore the world through photography and computer visionAbout This BookEfficiently harness iOS and OpenCV to capture and process high-quality images at high speedDevelop photographic apps and augmented reality apps quickly and easilyDetect, recognize, and morph faces and objectsWho This Book Is For

If you want to do computational photography and computer vision on Apple's mobile devices, then this book is for you. No previous experience with app development or OpenCV is required. However, basic knowledge of C++ or Objective-C is recommended.

What You Will LearnUse Xcode and Interface Builder to develop iOS appsObtain OpenCV's standard modules and build extra modules from sourceControl all the parameters of the iOS device's cameraCapture, save, and share photos and videosAnalyze colors, shapes, and textures in ordinary and specialized photographsBlend and compare images to create special photographic effects and augmented reality toolsDetect faces and morph facial featuresClassify coins and other objectsIn Detail

iOS Application Development with OpenCV 3 enables you to turn your smartphone camera into an advanced tool for photography and computer vision. Using the highly optimized OpenCV library, you will process high-resolution images in real time. You will locate and classify objects, and create models of their geometry. As you develop photo and augmented reality apps, you will gain a general understanding of iOS frameworks and developer tools, plus a deeper understanding of the camera and image APIs.

After completing the book's four projects, you will be a well-rounded iOS developer with valuable experience in OpenCV.

Style and approach

The book is practical, creative, and precise. It shows you the steps to create and customize five projects that solve important problems for beginners in mobile app development and computer vision. Complete source code and numerous visual aids are included in each chapter. Experimentation is an important part of the book. You will use computer vision to explore the real world, and then you will refine the projects based on your findings.

Joseph Howse
Get savvy with OpenCV and actualize cool computer vision applicationsAbout This BookUse OpenCV's Python bindings to capture video, manipulate images, and track objectsLearn about the different functions of OpenCV and their actual implementations.Develop a series of intermediate to advanced projects using OpenCV and PythonWho This Book Is For

This learning path is for someone who has a working knowledge of Python and wants to try out OpenCV. This Learning Path will take you from a beginner to an expert in computer vision applications using OpenCV. OpenCV's application are humongous and this Learning Path is the best resource to get yourself acquainted thoroughly with OpenCV.

What You Will LearnInstall OpenCV and related software such as Python, NumPy, SciPy, OpenNI, and SensorKinect - all on Windows, Mac or UbuntuApply "curves" and other color transformations to simulate the look of old photos, movies, or video gamesApply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like imageRecognize hand gestures in real time and perform hand-shape analysis based on the output of a Microsoft Kinect sensorReconstruct a 3D real-world scene from 2D camera motion and common camera reprojection techniquesDetect and recognize street signs using a cascade classifier and support vector machines (SVMs)Identify emotional expressions in human faces using convolutional neural networks (CNNs) and SVMsStrengthen your OpenCV2 skills and learn how to use new OpenCV3 featuresIn Detail

OpenCV is a state-of-art computer vision library that allows a great variety of image and video processing operations. OpenCV for Python enables us to run computer vision algorithms in real time. This learning path proposes to teach the following topics. First, we will learn how to get started with OpenCV and OpenCV3's Python API, and develop a computer vision application that tracks body parts. Then, we will build amazing intermediate-level computer vision applications such as making an object disappear from an image, identifying different shapes, reconstructing a 3D map from images , and building an augmented reality application, Finally, we'll move to more advanced projects such as hand gesture recognition, tracking visually salient objects, as well as recognizing traffic signs and emotions on faces using support vector machines and multi-layer perceptrons respectively.

This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:

OpenCV Computer Vision with Python by Joseph HowseOpenCV with Python By Example by Prateek JoshiOpenCV with Python Blueprints by Michael BeyelerStyle and approach

This course aims to create a smooth learning path that will teach you how to get started with will learn how to get started with OpenCV and OpenCV 3's Python API, and develop superb computer vision applications. Through this comprehensive course, you'll learn to create computer vision applications from scratch to finish and more!.

Joseph Howse
Create four mobile apps and explore the world through photography and computer visionAbout This BookEfficiently harness iOS and OpenCV to capture and process high-quality images at high speedDevelop photographic apps and augmented reality apps quickly and easilyDetect, recognize, and morph faces and objectsWho This Book Is For

If you want to do computational photography and computer vision on Apple's mobile devices, then this book is for you. No previous experience with app development or OpenCV is required. However, basic knowledge of C++ or Objective-C is recommended.

What You Will LearnUse Xcode and Interface Builder to develop iOS appsObtain OpenCV's standard modules and build extra modules from sourceControl all the parameters of the iOS device's cameraCapture, save, and share photos and videosAnalyze colors, shapes, and textures in ordinary and specialized photographsBlend and compare images to create special photographic effects and augmented reality toolsDetect faces and morph facial featuresClassify coins and other objectsIn Detail

iOS Application Development with OpenCV 3 enables you to turn your smartphone camera into an advanced tool for photography and computer vision. Using the highly optimized OpenCV library, you will process high-resolution images in real time. You will locate and classify objects, and create models of their geometry. As you develop photo and augmented reality apps, you will gain a general understanding of iOS frameworks and developer tools, plus a deeper understanding of the camera and image APIs.

After completing the book's four projects, you will be a well-rounded iOS developer with valuable experience in OpenCV.

Style and approach

The book is practical, creative, and precise. It shows you the steps to create and customize five projects that solve important problems for beginners in mobile app development and computer vision. Complete source code and numerous visual aids are included in each chapter. Experimentation is an important part of the book. You will use computer vision to explore the real world, and then you will refine the projects based on your findings.

Joseph Howse
Expand your knowledge of computer vision by building amazing projects with OpenCV 3About This BookBuild computer vision projects to capture high-quality image data, detect and track objects, process the actions of humans or animals, and much moreDiscover practical and interesting innovations in computer vision while building atop a mature open-source library, OpenCV 3Familiarize yourself with multiple approaches and theories wherever critical decisions need to be madeWho This Book Is For

This book is ideal for you if you aspire to build computer vision systems that are smarter, faster, more complex, and more practical than the competition. This is an advanced book intended for those who already have some experience in setting up an OpenCV development environment and building applications with OpenCV. You should be comfortable with computer vision concepts, object-oriented programming, graphics programming, IDEs, and the command line.

What You Will LearnSelect and configure camera systems to see invisible light, fast motion, and distant objectsBuild a “camera trap”, as used by nature photographers, and process photos to create beautiful effectsDevelop a facial expression recognition system with various feature extraction techniques and machine learning methodsBuild a panorama Android application using the OpenCV stitching module in C++ with NDK supportOptimize your object detection model, make it rotation invariant, and apply scene-specific constraints to make it faster and more robustCreate a person identification and registration system based on biometric properties of that person, such as their fingerprint, iris, and faceFuse data from videos and gyroscopes to stabilize videos shot from your mobile phone and create hyperlapse style videosIn Detail

Computer vision is becoming accessible to a large audience of software developers who can leverage mature libraries such as OpenCV. However, as they move beyond their first experiments in computer vision, developers may struggle to ensure that their solutions are sufficiently well optimized, well trained, robust, and adaptive in real-world conditions. With sufficient knowledge of OpenCV, these developers will have enough confidence to go about creating projects in the field of computer vision.

This book will help you tackle increasingly challenging computer vision problems that you may face in your careers. It makes use of OpenCV 3 to work around some interesting projects. Inside these pages, you will find practical and innovative approaches that are battle-tested in the authors' industry experience and research. Each chapter covers the theory and practice of multiple complementary approaches so that you will be able to choose wisely in your future projects. You will also gain insights into the architecture and algorithms that underpin OpenCV's functionality.

We begin by taking a critical look at inputs in order to decide which kinds of light, cameras, lenses, and image formats are best suited to a given purpose. We proceed to consider the finer aspects of computational photography as we build an automated camera to assist nature photographers. You will gain a deep understanding of some of the most widely applicable and reliable techniques in object detection, feature selection, tracking, and even biometric recognition. We will also build Android projects in which we explore the complexities of camera motion: first in panoramic image stitching and then in video stabilization.

By the end of the book, you will have a much richer understanding of imaging, motion, machine learning, and the architecture of computer vision libraries and applications!

Style and approach

This book covers a combination of theory and practice. We examine blueprints for specific projects and discuss the principles behind these blueprints, in detail.

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