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

Getting started I: Setting up OpenCV on Android


In this section, we will outline the steps to set up the OpenCV library on the Android platform, which is needed to enable access to the live camera stream central to any Augmented Reality applications.

Getting ready

We assume that the Android SDK and NDK are configured exactly as discussed in Chapter 7, An Introduction to Real-time Graphics Rendering on a Mobile Platform Using OpenGL ES 3.0. Here, we add in the support of OpenCV for Android. We will import and integrate the OpenCV library into our existing code structure from the previous chapter.

How to do it...

Here, we describe the major steps for setting up the OpenCV library, mainly path setup and pre-configuration of the Java SDK project setup:

  1. Download the OpenCV for Android SDK package, Version 3.0.0 (OpenCV-3.0.0-android-sdk-1.zip) at http://sourceforge.net/projects/opencvlibrary/files/opencv-android/3.0.0/OpenCV-3.0.0-android-sdk-1.zip.

  2. Move the package (OpenCV-3.0.0-android-sdk-1.zip...