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

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 simplified...