OpenGL Data Visualization Cookbook

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.

OpenGL Data Visualization Cookbook

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Preface

Free Chapter

Getting Started with OpenGL

Introduction

Setting up a Windows-based development platform

Setting up a Mac-based development platform

Setting up a Linux-based development platform

Installing the GLFW library in Windows

Installing the GLFW library in Mac OS X and Linux

Creating your first OpenGL application with GLFW

Compiling and running your first OpenGL application in Windows

Compiling and running your first OpenGL application in Mac OS X or Linux

OpenGL Primitives and 2D Data Visualization

Introduction

OpenGL primitives

Creating a 2D plot using primitives

Real-time visualization of time series

2D visualization of 3D/4D datasets

Interactive 3D Data Visualization

Introduction

Setting up a virtual camera for 3D rendering

Creating a 3D plot with perspective rendering

Creating an interactive environment with GLFW

Rendering a volumetric dataset – MCML simulation

Rendering 2D Images and Videos with Texture Mapping

Introduction

Getting started with modern OpenGL (3.2 or higher)

Setting up the GLEW, GLM, SOIL, and OpenCV libraries in Windows

Setting up the GLEW, GLM, SOIL, and OpenCV libraries in Mac OS X/Linux

Creating your first vertex and fragment shader using GLSL

Rendering 2D images with texture mapping

Real-time video rendering with filters

Rendering of Point Cloud Data for 3D Range-sensing Cameras

Introduction

Getting started with the Microsoft Kinect (PrimeSense) 3D range-sensing camera

Capturing raw data from depth-sensing cameras

OpenGL point cloud rendering with texture mapping and overlays

Rendering Stereoscopic 3D Models using OpenGL

Introduction

Installing the Open Asset Import Library (Assimp)

Loading the first 3D model in the Wavefront Object (.obj) format

Rendering 3D models with points, lines, and triangles

Stereoscopic 3D rendering

An Introduction to Real-time Graphics Rendering on a Mobile Platform using OpenGL ES 3.0

Introduction

Setting up the Android SDK

Setting up the Android Native Development Kit (NDK)

Developing a basic framework to integrate the Android NDK

Creating your first Android application with OpenGL ES 3.0

Interactive Real-time Data Visualization on Mobile Devices

Introduction

Visualizing real-time data from built-in Inertial Measurement Units (IMUs)

Part I – handling multi-touch interface and motion sensor inputs

Part II – interactive, real-time data visualization with mobile GPUs

Augmented Reality-based Visualization on Mobile or Wearable Platforms

Introduction

Getting started I: Setting up OpenCV on Android

Getting started II: Accessing the camera live feed using OpenCV

Displaying real-time video using texture mapping

Augmented reality-based data visualization over real-world scenes

Index

Customer Reviews

5 star

4 star

3 star

2 star

1 star

Loading the first 3D model in the Wavefront Object (.obj) format

Now, we are ready to integrate a 3D object loader into our code. The first step is to create an empty class called ObjLoader along with the source (.cpp) and header (.h) files. This class handles all the functions related to 3D object loading, parsing, and drawing using the OpenGL and Assimp libraries. The headers of the class will include the Assimp core functions for the handling of the data structures and all I/O mechanisms of the 3D data format:

#include <cimport.h>
#include <scene.h>
#include <postprocess.h>

In the ObjLoader.h file, we provide interfaces for the main program to create, destroy, load, and display the 3D data. In the ObjLoader.cpp file, we implement a set of functions to parse the scene (a hierarchical representation of the 3D objects in terms of meshes and faces) using the built-in functions from Assimp.

The Assimp library can support various 3D model data formats; however, in our example...

OpenGL Data Visualization Cookbook

OpenGL Data Visualization Cookbook

Overview of this book

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OpenGL Data Visualization Cookbook

Loading the first 3D model in the Wavefront Object (.obj) format