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Description

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.

Who is this book for?

This book is aimed at anyone interested in creating impressive data visualization tools using modern graphics hardware. Whether you are a developer, engineer, or scientist, if you are interested in exploring the power of OpenGL for data visualization, this book is for you. While familiarity with C/C++ is recommended, no previous experience with OpenGL is assumed.

What you will learn

Install, compile, and integrate the OpenGL pipeline into your own project

Create interactive applications using GLFW to handle user inputs and the Android Sensor framework to detect gestures and motions on mobile devices

Use OpenGL primitives to plot 2-D datasets such as time series dynamically

Render complex 3D volumetric datasets with techniques such as data slicers and multiple viewpoint projection

Render images, videos, and point cloud data from 3D range-sensing cameras using the OpenGL Shading Language (GLSL)

Develop video see-through augmented reality applications on mobile devices with OpenGL ES 3.0 and OpenCV

Visualize 3D models with meshes and surfaces using stereoscopic 3D technology

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Frequently bought together

Can$69.99

OpenGL 4 Shading Language Cookbook, Second Edition

Can$77.99

Can$69.99

Total Can$ 217.97

Customer reviews

Rating distribution

4.6

(5 Ratings)

5 star 80%

4 star 0%

3 star 20%

2 star 0%

1 star 0%

Elvis John Dowson Sep 10, 2015

A very good book that covers 2D and 3D data visualization using OpenGL and other libraries, with setup instructions provided for developing applications for Windows, Linux, Mac and Android platforms.The recipes provides in the book start with the basics, with rendering a rotating triangle and progressively move on to more advanced examples, including:- a 2D electrocardiogram,- interactively visualizing complex 3D data sets,- rendering 2D images and videos with texture mapping and working with OpenCV libraries,- working with GLSL,- real-time video rendering with filters,- rendering 3D point cloud data,- rendering stereoscopic 3D models,- creating augmented reality applications.

Amazon Verified review

Kwisatz Haderach Sep 14, 2015

This is an excellent book that gets you up and running quickly on OpenGL including the fixed function pipeline (version 2), shaders (version 3) and embedded systems/Android (ES). I appreciated the coverage on various platforms (Android, Linux, Mac, Windows) as I was able to use on Ubuntu 15.04, Windows 7/10, and Yosemite.The code depends on several open source libraries that jump start the projects to quickly see the reward for the effort. More importantly, the authors clearly explain why they are taking on the dependencies (GLEW for managing OpenGL extensions, GLFW for windowing, GLM for matrix math, SOIL for handling graphics formats, and OpenCV for imaging), I think most of these have fairly permissible licenses so you should be able to re-use without much concern (but I am an engineer and not a lawyer).The content is in tutorial format so it is a good first read for someone starting with OpenGL without having to search across multiple web sites. You will want to have a good reference with you to satisfy any curiosities about API calls.I was impressed with the examples that were more interesting than the standard tea pot and simple triangle renderings. Most of the content is generated programmatically through solution of math problems. While the math can be fairly sophisticated, the problems were focused on medicine and I found them relatable despite the fact that medicine is not my principle area of study (but I have a heart beat and the authors take the time to provide background information on what a heart beat plot should look like that was quite interesting).Anyway, the recipes in the cookbook are related to computer imaging of data based on various mathematical models. You start by drawing a simple sine curve on a 2D plot and progress to 3D contour plots. Then, you will start integrating filters for image processing. There is also a recipe for working with the Microsoft Kinect 3D range sensing camera on Apple, Linux and Windows platforms. After that, there are recipes for rendering stereoscopic images but I did not have the hardware to test the images.Overall, I am extremely pleased with the book as it quickly started my development across several platforms and saved me time and effort otherwise spent reading various web pages.I struggle to find any criticism. It would be nice to have a recipe for selecting objects (perhaps polygons) with mouse clicks. You also will not find any iOS coverage (at least I did not come across any). Hope this will be in the second edition.

Amazon Verified review

Samar Nov 18, 2015

[Disclosure: I am the Technical Reviewer on this book]"OpenGL Data Visualization Cookbook" is filled with excellent real-world examples which are easy to understand and implement. Having a basic-level knowledge of C/C++ will go a long way as we traverse the examples and source code included with the book.Variety of different visualization techniques as well as examples have been provided, the reader will be able to customize a part of code, to better understand the working of individual components.My personal favorite chapter 6 introduces concepts related to stereoscopic 3D rendering techniques and its implementation in OpenGL, for beginners the concept is usually helpful if you are modelling an object lets say customizing a car, you can view and manipulate the 3D model, to have a clear direction of the end product.As mentioned in earlier reviews, most of the libraries mentioned in the book are open source and easy to obtain with instructions mentioned in the book.One of the other pains that the author has took, is providing instructions for complete setup in different operating systems available, so its windows/mac/linux, we wont have much trouble implementing the source code and solutions provided in the book.An implementation of OpenGL on mobile platforms (android) is also included which makes us understand the concept from a different angle.Overall, "OpenGL data visualization cookbook" is structured well, the contents are concise to the point, nothing extra, nothing less and I`m positive about the reader experience in finding it useful.

Amazon Verified review

Matteo Ricci Oct 29, 2015

Very interesting read. It nicely complement other OpenGL books as it focus exclusively on data visualization. Indeed this is one of the few books I am aware of dealing with this topic using OpenGL.Another good point is given by the accompanying demo source code which runs on my platform of choice (Linux), unlike many other OpenGL books leaning more towards Windows.In summary, if you are interested in data visualization and you already know enough of OpenGL, this book is worth the money.

Amazon Verified review

Tom Jul 18, 2017

Good material however riddled with minor errors and the errata will not help you. I absolutely recommend you follow along with the book's source code, which will require you to create an account on the publisher's website.

Amazon Verified review

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

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