Book Image

OpenGL Data Visualization Cookbook

Book Image

OpenGL Data Visualization Cookbook

Overview of this book

OpenGL is a great multi-platform, cross-language, and hardware-accelerated graphics interface for visualizing large 2D and 3D datasets. Data visualization has become increasingly challenging using conventional approaches as datasets become larger and larger, especially with the Big Data evolution. From a mobile device to a sophisticated high-performance computing cluster, OpenGL libraries provide developers with an easy-to-use interface to create stunning visuals in 3D in real time for a wide range of interactive applications. This book provides a series of easy-to-follow, hands-on tutorials to create appealing OpenGL-based visualization tools with minimal development time. We will first illustrate how to quickly set up the development environment in Windows, Mac OS X, and Linux. Next, we will demonstrate how to visualize data for a wide range of applications using OpenGL, starting from simple 2D datasets to increasingly complex 3D datasets with more advanced techniques. Each chapter addresses different visualization problems encountered in real life and introduces the relevant OpenGL features and libraries in a modular fashion. By the end of this book, you will be equipped with the essential skills to develop a wide range of impressive OpenGL-based applications for your unique data visualization needs, on platforms ranging from conventional computers to the latest mobile/wearable devices.
Table of Contents (16 chapters)
OpenGL Data Visualization Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Developing a basic framework to integrate the Android NDK


Now that we have successfully installed the Android SDK and NDK, we will demonstrate how to develop a basic framework to integrate native C/C++ code into a Java-based Android application. Here, we describe the general mechanism to create high-performance code for deployment on mobile devices using OpenGL ES 3.0.

OpenGL ES 3.0 supports both Java and C/C++ interfaces. Depending on the specific requirements of the application, you may choose to implement the solution in Java due to its flexibility and portability. For high-performance computing and applications that require a high memory bandwidth, it is preferable that you use the NDK for fine-grain optimization and memory management. In addition, we can port our existing libraries, such as OpenCV with Android NDK, using static library linking. The cross-platform compilation capability opens up many possibilities for real-time image and signal processing on a mobile platform with minimal...