Android Application Programming with OpenCV: For Java developers OpenCV is a fantastic opportunity to benefit from the popularity of image related mobile apps on Android. This book teaches you all you need to know about computer vision with practical projects.

Joseph Howse

zł157.99

3.8 (9 Ratings)

Paperback Sep 2013 130 pages 1st Edition

Joseph Howse

zł157.99

3.8 (9 Ratings)

Paperback Sep 2013 130 pages 1st Edition

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Key benefits

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

Description

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 vision‚Äîcapturing, 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 OpenCV's 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 system's 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.

Who is this book for?

This book is for Java developers who are new to computer vision and who would like to learn about how it is used in relation to application development. It is assumed that you have previous experience in Java, but not necessarily Android. A basic understanding of image data (for example pixels and color channels) would be helpful too. You are expected to have a mobile device running Android 2.2 (Froyo) or greater and it must have a camera.

What you will learn

Install OpenCV and an Android development environment on Windows, Mac, or Linux
Capture, display, and save images
Make images accessible to other apps via Android s MediaStore and Intent classes
Integrate OpenCV events and views with Android s 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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Frequently bought together

zł157.99

Mastering OpenCV with Practical Computer Vision Projects

zł197.99

OpenCV Computer Vision Application Programming Cookbook Second Edition

zł197.99

Total zł 553.97

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Amazon verified reviews

HS Aug 26, 2015

GREAT book for new to android programmers. It's light, easy to follow, and provides a good overview of various image processing features. Sample projects are fun and easy to develop or modify for your own use.

Amazon Verified review

Nathan Waters Jun 01, 2016

Short and sweet! Great way to get your feet wet in Computer Vision and Graphics on Android.

Jung W. Suh Dec 07, 2013

This book guides for easy start of OpenCV at Android environment. It starts with the scratch and basics such as development environment setting through practical examples, so it helps to even novice of both Android and OpenCV. Since this book is not thick and easily read, we can go through the book quickly and can go to the next level.

Pradeep Jul 26, 2014

Nice and compact book - gets started on OpenCV and Image processing with Android! However, could have been little more elaborate on OpenCV fundamentals too.

Kindle Customer Dec 14, 2013

I received a review copy from PacktPub.comThe book does a nice job of introducing the reader to OpenCV under Android. It starts with the basics (installing, setting up the development environment, and compiling), then moves on to capturing images, applying filters/effects, tracking in 2D, tracking in 3D, and finally rendering 3D objects on top of a camera image for Augmented Reality.The code in the book is provided for easy compiling, and is nicely commented for easy reading.

Android Application Programming with OpenCV: For Java developers OpenCV is a fantastic opportunity to benefit from the popularity of image related mobile apps on Android. This book teaches you all you need to know about computer vision with practical projects.

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