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)

Rendering onscreen charts

In the Implementing an immediate mode drawing canvas recipe, we learned how to create immediate mode drawing facilities in Vulkan with basic drawing functionality. In this recipe, we will continue adding useful utilities built on top of a 2D line drawing.

Getting ready

We recommend revisiting the Implementing an immediate mode drawing canvas recipe to get a better grasp of how a simple Vulkan drawing canvas can be implemented.

How to do it...

What we need at this point essentially boils down to decomposing a 2D chart or graph into a set of lines. Let's go through the code to see how to do it:

  1. We introduce the LinearGraph class to render a graph of floating-point values. It stores a collection of values and the maximum number of points that should be visible on the screen. A deque is used here for the sake of simplicity:
    class LinearGraph {
      std::deque<float> graph_;
      const size_t maxPoints_;