Book Image

3D Graphics Rendering Cookbook

By : Sergey Kosarevsky, Viktor Latypov
4 (2)
Book Image

3D Graphics Rendering Cookbook

4 (2)
By: Sergey Kosarevsky, Viktor Latypov

Overview of this book

OpenGL is a popular cross-language, cross-platform application programming interface (API) used for rendering 2D and 3D graphics, while Vulkan is a low-overhead, cross-platform 3D graphics API that targets high-performance applications. 3D Graphics Rendering Cookbook helps you learn about modern graphics rendering algorithms and techniques using C++ programming along with OpenGL and Vulkan APIs. The book begins by setting up a development environment and takes you through the steps involved in building a 3D rendering engine with the help of basic, yet self-contained, recipes. Each recipe will enable you to incrementally add features to your codebase and show you how to integrate different 3D rendering techniques and algorithms into one large project. You'll also get to grips with core techniques such as physically based rendering, image-based rendering, and CPU/GPU geometry culling, to name a few. As you advance, you'll explore common techniques and solutions that will help you to work with large datasets for 2D and 3D rendering. Finally, you'll discover how to apply optimization techniques to build performant and feature-rich graphics applications. By the end of this 3D rendering book, you'll have gained an improved understanding of best practices used in modern graphics APIs and be able to create fast and versatile 3D rendering frameworks.
Table of Contents (12 chapters)

Getting the demo data 

This book makes use of free 3D graphics datasets as much as possible. The comprehensive list of large 3D datasets is maintained by Morgan McGuire, Computer Graphics Archive, July 2017 (https://casual-effects.com/data). We will use some large 3D models from his archive for demonstration purposes in this book. Let's download and patch one of them.

How to do it

To download the entire dataset, follow these simple steps:

  1. Open the https://casual-effects.com/data/ page in a browser and find the Amazon Lumberyard Bistro dataset.
  2. Click on the Download link and allow the browser to download all the data files. The following is a screenshot of Morgan McGuire's site with the download link:
Figure 1.6 – Amazon Lumberyard Bistro as pictured on casualeffects.com as a 2.4-GB download

Figure 1.6 – Amazon Lumberyard Bistro as pictured on casualeffects.com as a 2.4-GB download

There's more...

Some of the material properties in the downloaded dataset should be updated. Use the interior.mtl...