Treffer: 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.

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 FeaturesSet up OpenCV and an Android development environment on Windows, Mac, or LinuxCapture and display real-time videos and still imagesManipulate image data using OpenCV and Apache Commons MathTrack objects and render 2D and 3D graphics on top of themCreate a photo-capture and photo-sharing app that supports a variety of filters with a real-time preview featureBook 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—capturing, 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 learnInstall OpenCV and an Android development environment on Windows, Mac, or LinuxCapture, display, and save imagesMake images accessible to other apps via Android s MediaStore and Intent classesIntegrate OpenCV events and views with Android s standard activity lifecycle and view hierarchyLearn how OpenCV uses matrices to store data about images, recognizable features in images, and camera characteristicsApply curves and other color transformations to simulate the look of old photos, movies, or video gamesApply convolution filters that sharpen, blur, emboss, or darken edges and textures in an imageTrack real-world objects, especially printed images, in 2D and 3D spaceExtract camera data from Android SDK and use it to construct OpenCV and OpenGL projection matricesRender basic 3D graphics in OpenGLWho 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 developme