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OpenGL Data Visualization Cookbook

You're reading from   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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Product type Paperback
Published in Aug 2015
Publisher Packt
ISBN-13 9781782169727
Length 298 pages
Edition 1st Edition
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Table of Contents (11) Chapters Close

Preface 1. Getting Started with OpenGL 2. OpenGL Primitives and 2D Data Visualization FREE CHAPTER 3. Interactive 3D Data Visualization 4. Rendering 2D Images and Videos with Texture Mapping 5. Rendering of Point Cloud Data for 3D Range-sensing Cameras 6. Rendering Stereoscopic 3D Models using OpenGL 7. An Introduction to Real-time Graphics Rendering on a Mobile Platform using OpenGL ES 3.0 8. Interactive Real-time Data Visualization on Mobile Devices 9. Augmented Reality-based Visualization on Mobile or Wearable Platforms Index

Rendering a volumetric dataset – MCML simulation

In this section, we will demonstrate the rendering of a 3D volumetric dataset generated from a Monte Carlo simulation of light transport in biological tissue, called Monte Carlo for multi-layered media (MCML). For simplicity, the simulation output file is included with the code bundle for this chapter so that readers can directly run the demo without setting up the simulation code. The source code for the Monte Carlo simulation is described in detail in a series of publications listed in the See also section and the GPU implementation is available online for interested readers (https://code.google.com/p/gpumcml/).

Light transport in biological tissue can be modeled with the radiative transport equation (RTE), which has proven difficult to solve analytically for complex geometry. The time-dependent RTE can be expressed as:

Rendering a volumetric dataset – MCML simulation

Here Rendering a volumetric dataset – MCML simulation is the radiance [W m−2sr−1] defined as the radiant power [W] crossing an infinitesimal area...

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