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

Real-time video rendering with filters


The GLSL shader provides a simple way to perform highly parallelized processing. On top of the texture mapping shown previously, we will demonstrate how to implement a simple video filter that postprocesses the end results of the buffer frame using the fragment shader. To illustrate this technique, we implement the Sobel Filter along with a heat map rendered using the OpenGL pipeline. The heat map function that was previously implemented in Chapter 3, Interactive 3D Data Visualization, will now be directly ported to GLSL with very minor changes.

The Sobel operator is a simple image processing technique frequently used in computer vision algorithms such as edge detection. This operator can be defined as a convolution operation with a 3 x 3 kernel, shown as follows:

and are results of the horizontal and vertical derivatives of an image, respectively, from the convolution operation of image I at the pixel location (x, y).

We can also perform a sum of squares...