Mastering OpenCV Android Application Programming

Master the art of implementing computer vision algorithms on Android platforms to build robust and efficient applications

Mastering OpenCV Android Application Programming
About This Book

• 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.

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

In Detail
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 OpenCV's Java API. You'll 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 OpenCV's 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.

Android Application Programming with OpenCV 3

Build Android apps to capture, manipulate, and track objects in 2D and 3D

Android Application Programming with OpenCV 3
About This Book

• Capture and display real-time videos and still images
• Manipulate image data using OpenCV and Apache Commons Math
• A step-by-step guide to building Android and CV applications

Who This Book Is For
If you are a Java developer who is new to computer vision and would like to learn through application development, then this book is for you. You are expected to have a mobile device running Android 2.2 (Froyo) or greater, including a camera. Experience in Java is a must.

What You Will Learn

• Install OpenCV and an Android development environment on Windows, Mac, or Linux
• Control a camera and use its perspective in augmented reality
• Share photos with other apps via Android's MediaStore and Intent classes
• Create GUIs and handle events using Android activities and OpenCV
• Train an image recognizer that can locate famous paintings in a scene
• Apply "curves" and other color transformations to simulate the look of old photos
• Apply convolution filters that sharpen, blur, emboss, or darken the details of an image

In Detail
Android Application Programming with OpenCV 3 is a practical, hands-on guide to computer vision and mobile app development. It shows how to capture, manipulate, and analyze images while building an application that combines photography and augmented reality. To help the reader become a well-rounded developer, the book covers OpenCV (a computer vision library), Android SDK (a mobile app framework), OpenGL ES (a 3D graphics framework), and even JNI (a Java/C++ interoperability layer).

Now in its second edition, the book offers thoroughly reviewed code, instructions, and explanations. It is fully updated to support OpenCV 3 and Android 5, as well as earlier versions. Although it focuses on OpenCV's Java bindings, this edition adds an extensive chapter on JNI and C++, so that the reader is well primed to use OpenCV in other environments.