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OpenGL Data Visualization Cookbook

You're reading from   OpenGL Data Visualization Cookbook Over 35 hands-on recipes to create impressive, stunning visuals for a wide range of real-time, interactive applications using OpenGL

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Product type Paperback
Published in Aug 2015
Publisher Packt
ISBN-13 9781782169727
Length 298 pages
Edition 1st Edition
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Table of Contents (11) Chapters Close

Preface 1. Getting Started with OpenGL 2. OpenGL Primitives and 2D Data Visualization FREE CHAPTER 3. Interactive 3D Data Visualization 4. Rendering 2D Images and Videos with Texture Mapping 5. Rendering of Point Cloud Data for 3D Range-sensing Cameras 6. Rendering Stereoscopic 3D Models using OpenGL 7. An Introduction to Real-time Graphics Rendering on a Mobile Platform using OpenGL ES 3.0 8. Interactive Real-time Data Visualization on Mobile Devices 9. Augmented Reality-based Visualization on Mobile or Wearable Platforms 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...

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