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.

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Spis treści

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 eBook -- spis treści

• 1. Getting Started with OpenGL
• 2. Visualization of 2D Datasets
• 3. Visualization of 3D Datasets
• 4. Rendering of 2D/3D Images and Texture Mapping
• 5. Rendering of Point Cloud Data for Kinect 3D Range Sensing Camera
• 6. 3D Stereoscopic Rendering
• 7. Introduction to Real-Time Graphics Rendering on Mobile Platform using OpenGL ES 3.0
• 8. 3D Real-time Rendering for Augmented Reality Application
• 9. Augmented reality (AR)-based visualization on mobile or wearable platforms