Howse - Android application programming with OpenCV : build Android apps to capture, manipulate, and track objects in 2D and 3D
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Android application programming with OpenCV : build Android apps to capture, manipulate, and track objects in 2D and 3D: summary, description and annotation
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Overview
- Set up OpenCV and an Android development environment on Windows, Mac, or Linux
- Capture and display real-time videos and still images
- Manipulate image data using OpenCV and Apache Commons Math
- Track objects and render 2D and 3D graphics on top of them
- Create a photo-capture and photo-sharing app that supports a variety of filters with a real-time preview feature
In Detail
Take a smartphone from your pocket, and within a few seconds, you can snap a photo, manipulate it, and share it with the world. You have just achieved mass production of image data. With a computer vision library such as OpenCV, you can analyze and transform copious amounts of image data in real time on a mobile device. The upshot to this is that you, as developers, can provide mobile users with many new kinds of images, constantly highlighting certain visual features that are of artistic or practical interest. Android is a convenient platform for such experiments because it uses a high-level language (Java), it provides standardized interfaces for sharing image data between applications, and it is mostly open source, so everyone can study its implementation.
Android Application Programming with OpenCV is a practical, hands-on guide that covers the fundamental tasks of computer visioncapturing, filtering, and analyzing images-with step-by-step instructions for writing both an application and reusable library classes.
Android Application Programming with OpenCV looks at OpenCVs Java bindings for Android and dispels mysteries such as which version of these bindings to use, how to integrate with standard Android functionality for layout, event handling, and data sharing, and how to integrate with OpenGL for rendering. By following the clear, concise, and modular examples provided in this book, you will develop an application that previews, captures, and shares photos with special effects based on color manipulation, edge detection, image tracking, and 3D rendering.Beneath the application layer, you will develop a small but extensible library that you can reuse in your future projects. This library will include filters for selectively modifying an image based on edge detection, 2D and 3D image trackers, and adapters to convert the Android systems camera specifications into OpenCV and OpenGL projection matrices. If you want a quick start in computer vision for Android, then this is the book for you.
By the end of Android Application Programming with OpenCV, you will have developed a computer vision application that integrates OpenCV, Android SDK, and OpenGL.
What you will learn from this book
- Install OpenCV and an Android development environment on Windows, Mac, or Linux
- Capture, display, and save images
- Make images accessible to other apps via Androids MediaStore and Intent classes
- Integrate OpenCV events and views with Androids standard activity lifecycle and view hierarchy
- Learn how OpenCV uses matrices to store data about images, recognizable features in images, and camera characteristics
- Apply curves and other color transformations to simulate the look of old photos, movies, or video games
- Apply convolution filters that sharpen, blur, emboss, or darken edges and textures in an image
- Track real-world objects, especially printed images, in 2D and 3D space
- Extract camera data from Android SDK and use it to construct OpenCV and OpenGL projection matrices
- Render basic 3D graphics in OpenGL
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Copyright 2013 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
First published: September 2013
Production Reference: 1180913
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-84969-520-6
www.packtpub.com
Cover Image by Ankita Jha (<>)
Author
Joseph Howse
Reviewers
Karan Kedar Balkar
Rohit Bhat
Viral Parekh
Acquisition Editors
Nikhil Karkal
Kartikey Pandey
Commissioning Editor
Harsha Bharwani
Technical Editors
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Manal Pednekar
Project Coordinator
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Proofreader
Amy Guest
Indexer
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Graphics
Ronak Dhruv
Production Coordinator
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Cover Work
Conidon Miranda
Joseph Howse might be at home right now, sitting on a sofa and writing a book, or he might have dashed away with a suitcase full of books, cameras, and computers. He is equipped to "see the world" or at least to do his work in computer vision.
He is a software developer at Ad-Dispatch (Canada), where he makes augmented reality games for iOS and Android. Thanks to computer vision, the games can make use of real-world props such as a child's drawings, toys, or blanket-forts.
He also provides training and consulting services. He is currently consulting at Market Beat (El Salvador) on an embedded systems project that uses OpenCV for face recognition.
He holds three masters degrees in Computer Science, International Development Studies, and Business Administration (Dalhousie University, Canada). His research has been published by ISMAR ( International Symposium on Mixed and Augmented Realities ), and he would love to meet you there if you go.
Android Application Programming with OpenCV is Joe's second book with Packt. His first book, OpenCV Computer Vision with Python , includes an introduction to face tracking and depth cameras (for example, Kinect) on Windows, Mac, and Linux.
Joe likes cats, kittens, oceans, and seas. Felines and saline water sustain him. He lives with his multi-species family in Halifax, on Canada's Atlantic coast.
I am able to writeand to enjoy writingbecause I am constantly encouraged by the memory of Sam and by the companionship of Mom, Dad, and the cats. They are my fundamentals.
I am indebted to my editors and reviewers for guiding this book to completion. Their professionalism, courtesy, good judgment, and passion for books are much appreciated.
Karan Kedar Balkar has been working as an independent Android application developer since the past four years. Born and brought up in Mumbai, he holds a bachelor degree in Computer Engineering. He has written over 50 programming tutorials on his personal blog (http://karanbalkar.com), covering popular technologies and frameworks.
At present, he is working as a software engineer. He has been trained on various technologies including Java, Oracle, and .NET. Apart from being passionate about technology, he loves to write poems and travel to different places. He likes listening to music and enjoys playing the guitar.
Firstly, I would like to thank my parents for their constant support and encouragement. I would also like to thank my friends Srivatsan Iyer, Ajit Pillai, and Prasaanth Neelakandan for always inspiring and motivating me.
I would like to express my deepest gratitude to Packt Publishing for giving me a chance to be a part of the reviewing process.
Rohit Bhat is a Computer Science graduate from BITS Pilani, India, currently working as a Software Specialist in a leading Big Data Analytics firm. He has done projects in a variety of fields of technology encompassing Data Mining, Android Development, Open CV, Swarm Intelligence, Workflow Automation, and Video Conferencing platform. He loves to keep himself abreast of the latest technology and can always be found ready for a discussion on any topic under the sun. He is also interested in reading, startup, economics, and current affairs. He likes to write and is a freelance blogger in his spare time.
He is currently writing a book for Packt on Bonita Open Solution, a technology which he has used extensively for Workflow Automation and Business Process Modeling.
Viral Parekh is a young graduate of Computer Science. He is a skilled mobile application developer. He has a grip on the various open source libraries such as OpenCV, OpenNI (Open Natural Interaction), FFmpeg, and video4linux. He is keen to work in the field of Human computer Interaction and Augmented reality.
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This book will show you how to use OpenCV's Java bindings in an Android app that displays a camera feed, saves and shares photos, manipulates colors and edges, and tracks real-world objects in 2D or 3D. Integration with OpenGL is also introduced so that you can start building augmented reality (AR) apps that superimpose virtual 3D scenes on tracked objects in the camera feed.
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