Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying OpenGL Data Visualization Cookbook
  • Table Of Contents Toc
  • Feedback & Rating feedback
OpenGL Data Visualization Cookbook

OpenGL Data Visualization Cookbook

4.6 (5)
close
close
OpenGL Data Visualization Cookbook

OpenGL Data Visualization Cookbook

4.6 (5)

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 (11 chapters)
close
close
10
Index

Introduction

OpenGL is an ideal multiplatform, cross-language, and hardware-accelerated graphics rendering interface that is well suited to visualize large 2D and 3D datasets in many fields. In fact, OpenGL has become the industry standard to create stunning graphics, most notably in gaming applications and numerous professional tools for 3D modeling. As we collect more and more data in fields ranging from biomedical imaging to wearable computing (especially with the evolution of Big Data), a high-performance platform for data visualization is becoming an essential component of many future applications. Indeed, the visualization of massive datasets is becoming an increasingly challenging problem for developers, scientists, and engineers in many fields. Therefore, OpenGL can provide a unified solution for the creation of impressive, stunning visuals in many real-time applications.

The APIs of OpenGL encapsulate the complexity of hardware interactions while allowing users to have low-level control over the process. From a sophisticated multiserver setup to a mobile device, OpenGL libraries provide developers with an easy-to-use interface for high-performance graphics rendering. The increasing availability and capability of graphics hardware and mass storage devices, coupled with their decreasing cost, further motivate the development of interactive OpenGL-based data visualization tools.

Modern computers come with dedicated Graphics Processing Units (GPUs), highly customized pieces of hardware designed to accelerate graphics rendering. GPUs can also be used to accelerate general-purpose, highly parallelizable computational tasks. By leveraging hardware and OpenGL, we can produce highly interactive and aesthetically pleasing results.

This chapter introduces the essential tools to develop OpenGL-based data visualization applications and provides a step-by-step tutorial on how to set up the environment for our first demo application. In addition, this chapter outlines the steps to set up a popular tool called CMake, which is a cross-platform software that automates the process of generating standard build files (for example, makefiles in Linux that define the compilation parameters and commands) with simple configuration files. The CMake tool will be used to compile additional libraries in the future, including the GLFW (OpenGL FrameWork) library introduced later in this chapter. Briefly, the GLFW library is an open source, multiplatform library that allows users to create and manage windows with OpenGL contexts as well as handle inputs from peripheral devices such as the mouse and keyboard. By default, OpenGL itself does not support other peripherals; thus, the GLFW library is used to fill in the gap. We hope that this detailed tutorial will be especially useful for beginners who are interested in exploring OpenGL for data visualization but have little or no prior experience. However, we will assume that you are familiar with the C/C++ programming language.

Create a Note

Modal Close icon
You need to login to use this feature.
notes
bookmark search playlist font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Delete Note

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Edit Note

Modal Close icon
Write a note (max 255 characters)
Cancel
Update Note

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY