Kapur S. - Mastering OpenCV Android Application Programming
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OpenCV is a famous computer vision library, used to analyze and transform copious amounts of image data, even in real time and on a mobile device.This book focuses on leveraging mobile platforms to build interactive and useful applications. The book starts off with an introduction to OpenCV and Android and how they interact with each other using OpenCVs Java API. Youll also discover basic image processing techniques such as erosion and dilation of images, before walking through how to build more complex applications, such as object detection, image stitching, and face detection. As you progress, you will be introduced to OpenCVs machine learning framework, enabling you to make your applications smarter.The book ends with a short chapter covering useful Android tips and tricks and some common errors and solutions that people might face while building an application. By the end of the book, readers will have gained more expertise in building their own OpenCV projects for the Android platform and integrating OpenCV application programming into existing projects.What You Will Learn:
Understand image processing using OpenCV;
Detect specific objects in an image or video using various state-of-the-art feature-matching algorithms such as SIFT, SURF, and ORB;
Perform image transformations such as changing color, space, resizing, applying filters like Gaussian blur, and likes;
Use mobile phone cameras to interact with the real world;
Explore face detection, object detection, and image stitching in OpenCV Android programming;
Build smarter applications by using machine learning algorithms;
Learn to debug applications and create optimal custom algorithms by understanding how data is stored internally.Understand and utilise the features of OpenCV, Android SDK, and OpenGL.
Detect and track specific objects in a video using Optical Flow and Lucas Kanade Tracker.
An advanced guide full of real-world examples, helping you to build smart OpenCV Android applications.Who This Book Is For:
If you are a Java and Android developer looking to enhance your skills by learning the latest features of OpenCV Android application programming, then this book is for you. iPAD Amazon Kindle, PC , Cool Reader, Calibre, Adobe Digital Editions
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Copyright 2015 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 authors, 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: July 2015
Production reference: 1230715
Published by Packt Publishing Ltd.
Livery Place
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Birmingham B3 2PB, UK.
ISBN 978-1-78398-820-4
www.packtpub.com
Authors
Salil Kapur
Nisarg Thakkar
Reviewers
Radhakrishna Dasari
Noritsuna Imamura
Ashwin Kachhara
Andr Moreira de Souza
Commissioning Editor
Kartikey Pandey
Acquisition Editors
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Aditya Nair
Content Development Editors
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Kirti Patil
Technical Editor
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Copy Editor
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Project Coordinator
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Graphics
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Production Coordinator
Nitesh Thakur
Cover Work
Nitesh Thakur
Salil Kapur is a software engineer at Microsoft. He earned his bachelor's degree in computer science from Birla Institute of Technology and Science, Pilani.
He has a passion for programming and is always excited to try out new technologies. His interests lie in computer vision, networks, and developing scalable systems. He is an open source enthusiast and has contributed to libraries such as SimpleCV, BinPy, and Krita.
When he is not working, he spends most of his time on Quora and Hacker News. He loves to play basketball and ultimate frisbee. He can be reached at <>.
Nisarg Thakkar is a software developer and a tech enthusiast in general. He primarily programs in C++ and Java. He has extensive experience in Android app development and computer vision application development using OpenCV. He has also contributed to an OpenCV project and works on its development during his free time. His interests lie in stereo vision, virtual reality, and exploiting the Android platform for noncommercial projects that benefit the people who cannot afford the conventional solutions.
He was also the subcoordinator of the Mobile App Club at his university. He was also the cofounder of two start-ups at his college, which he started with his group of friends. One of these start-ups has developed Android apps for hotels, while the other is currently working on building a better contact manager app for the Android platform.
Nisarg Thakkar is currently studying at BITS Pilani, K. K. Birla Goa campus, where he will be graduating with a degree in engineering (hons.) in computer science in May 2016. He can be reached at <>.
Radhakrishna Dasari is a computer science PhD student at the State University of New York in Buffalo. He works at Ubiquitous Multimedia Lab, whose director is Dr. Chang Wen Chen. His research spans computer vision and machine learning with an emphasis on multimedia applications. He intends to pursue a research career in computer vision and loves to teach.
Noritsuna Imamura is a specialist in embedded Linux/Android-based computer vision. He is the main person of SIProp (http://siprop.org/).
His main works are as follows:
- ITRI Smart Glass, which is similar to Google Glass. He worked on this using Android 4.3 and OpenCV 2.4 in June 2014 (https://www.itri.org.tw/chi/Content/techTransfer/tech_tran_cont.aspx?&SiteID=1&MmmID=620622510147005345&Keyword=&MSid=4858).
- Treasure Hunting Robot, a brainwave controlling robot that he developed in February 2012 (http://www.siprop.org/en/2.0/index.php?product%2FTreasureHuntingRobot).
- OpenCV for Android NDK. This has been included since Android 4.0.1 (http://tools.oesf.biz/android-4.0.1_r1.0/search?q=SIProp).
- Auto Chasing Turtle, a human face recognition robot with Kinect, which he developed in February 2011 (http://www.siprop.org/ja/2.0/index.php?product%2FAutoChasingTurtle).
- Feel sketchan AR Authoring Tool and AR Browser as an Android application, which he developed in December 2009 (http://code.google.com/p/feelsketch/).
He can be reached at <>.
Ashwin Kachhara graduated from IIT Bombay in June 2015 and is currently pursuing his master's at Georgia Tech, Atlanta. Over the past 5 years, he has been developing software for different platforms, including AVR, Android, Microsoft Kinect, and the Oculus Rift. His professional interests span Mixed Reality, Wearable Technologies, graphics, and computer vision. He has previously worked as an intern at the SONY Head Mounted Display (HMD) division in Tokyo and at the National University of Singapore's Interactive and Digital Media Institute (IDMI). He is a virtual reality enthusiast and enjoys rollerblading and karaoke when he is not writing awesome code.
Andr Moreira de Souza is a PhD candidate in computer science, with an emphasis on computer graphics from the Pontifical Catholic University of Rio de Janeiro (Brazil).
He graduated with a bachelor of computer science degree from Universidade Federal do Maranho (UFMA) in Brazil. During his undergraduate degree, he was a member of Labmint's research team and worked with medical imaging, specifically, breast cancer detection and diagnosis using image processing.
Currently, he works as a researcher and system analyst at Instituto Tecgraf, one of the major research and development labs in computer graphics in Brazil. He has been working extensively with PHP, HTML, and CSS since 2007; nowadays, he develops projects in C++11/C++14, along with SQLite, Qt, Boost, and OpenGL. More information about him can be acquired by visiting his personal website at www.andredsm.com.
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