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.
Published on 13. January 2025
130 pages
978-1-84969-521-3 (ISBN)
Description
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.
Key Features
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
Book DescriptionTake 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'AEicapturing, 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.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
Who this book is forThis 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.
Key Features
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
Book DescriptionTake 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'AEicapturing, 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.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
Who this book is forThis 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.
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More details
Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Edition type
Digital original
File size
3,53 MB
ISBN-13
978-1-84969-521-3 (9781849695213)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Joseph Howse
Android Application Programming with Opencv
Book
09/2013
Packt Publishing
€44.80
Shipment within 3-4 weeks
Person
Howse Joseph :
Joseph Howse lives in a Canadian fishing village, where he chats with his cats, crafts his books, and nurtures an orchard of hardy fruit trees. He is President of Nummist Media Corporation, which exists to support his books and to provide mentoring and consulting services, with a specialty in computer vision. On average, in 2015-2022, Joseph has written 1.4 new books or new editions per year for Packt. He also writes fiction, including an upcoming novel about the lives of a group of young people in the last days of the Soviet Union.
Joseph Howse lives in a Canadian fishing village, where he chats with his cats, crafts his books, and nurtures an orchard of hardy fruit trees. He is President of Nummist Media Corporation, which exists to support his books and to provide mentoring and consulting services, with a specialty in computer vision. On average, in 2015-2022, Joseph has written 1.4 new books or new editions per year for Packt. He also writes fiction, including an upcoming novel about the lives of a group of young people in the last days of the Soviet Union.
Content
Table of Contents
