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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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Toc

Table of Contents (11) Chapters Close

Preface 1. Getting Started with OpenGL FREE CHAPTER 2. OpenGL Primitives and 2D Data Visualization 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

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...

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