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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 II: Accessing the camera live feed using OpenCV


Next we need to demonstrate how to integrate OpenCV into our Android-based development framework. The following block diagram illustrates the core functions and relationship among the classes that will be implemented in this chapter (only the functions or classes relevant to the introduction of OpenCV will be discussed in this section):

In particular, we will demonstrate how to extract an image frame from the camera video stream for further image processing steps. The OpenCV library provides camera support for accessing the live camera feed (the raw data buffer of the video data stream) as well as controlling the camera parameters. This feature allows us to get the raw frame data from the live preview camera with optimal resolution, frame rate, and image format.

Getting ready

The demos in this chapter build upon the basic structure introduced in the sample code of Chapter 8, Interactive Real-time Data Visualization on Mobile Devices...

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