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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

Introduction

The purpose of this chapter is to introduce the techniques to visualize another interesting and emerging class of data: depth information from 3D range-sensing cameras. Devices with 3D depth sensors are hitting the market everyday, and companies such as Intel, Microsoft, SoftKinetic, PMD, Structure Sensor, and Meta (wearable Augmented Reality eyeglasses) are all using these novel 3D sensing devices to track user inputs, such as hand gestures for interaction and/or tracking a user's environment. An interesting integration of 3D sensors with OpenGL is the ability to look at a scene in 3D from different perspectives, thereby enabling a virtual 3D fly-through of a scene captured with the depth sensors. In our case, for data visualization, being able to walk through a massive 3D dataset could be particularly powerful in scientific computing, urban planning, and many other applications that involve the visualization of 3D structures of a scene.

In this chapter, we propose a...

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