This book will help you get started with OpenCV on the Android platform in no time. It explains the various computer vision algorithms conceptually, as well as their implementation on the Android platform. This book is an invaluable resource if you are looking forward to implementing computer vision modules on new or existing Android apps.
Chapter 1, Applying Effects to Images, includes some of the basic preprocessing algorithms used in various computer vision applications. This chapter also explains how you can integrate OpenCV to your existing projects.
Chapter 2, Detecting Basic Features in Images, covers the detection of primary features such as edges, corners, lines, and circles in images.
Chapter 3, Detecting Objects, dives deep into feature detection, using more advanced algorithms to detect and describe features in order to uniquely match them to features in other objects.
Chapter 4, Drilling Deeper into Object Detection – Using Cascade Classifiers, explains the detection of general objects, such as faces/eyes in images and videos.
Chapter 5, Tracking Objects in Videos, covers the concepts of optical flow as a motion detector and implements the Lucas-Kanade-Tomasi tracker to track objects in a video.
Chapter 6, Working with Image Alignment and Stitching, covers the basic concepts of image alignment and image stitching to create a panoramic scene image.
Chapter 7, Bringing Your Apps to Life with OpenCV Machine Learning, explains how machine learning can be used in computer vision applications. In this chapter, we take a look at some common machine learning algorithms and their implementation in Android.
Chapter 8, Troubleshooting and Best Practices, covers some of the common errors and issues that developers face while building their applications. It also unfolds some good practices that can make the application more efficient.
Chapter 9, Developing a Document Scanning App, uses various algorithms that have been explained across various chapters to build a complete system to scan documents, regardless of what angle you click the image at.
For this book, you need a system with at least 1 GB RAM. Windows, OS X, and Linux are the currently supported operating systems for Android development.
If you are a Java and Android developer and looking to enhance your skills by learning the latest features of OpenCV Android application programming, then this book is for you.
In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.
Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "Create a file named Application.mk and copy the following lines of code to it."
A block of code is set as follows:
<uses-permission android:name="android.permission.CAMERA"/>
<uses-feature android:name="android.hardware.camera" android:required="false"/>
<uses-feature android:name="android.hardware.camera.autofocus" android:required="false"/>
<uses-feature android:name="android.hardware.camera.front" android:required="false"/>
<uses-feature android:name="android.hardware.camera.front.autofocus" android:required="false"/>New terms and important words are shown in bold.
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