Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
3D Graphics Rendering Cookbook

You're reading from   3D Graphics Rendering Cookbook A comprehensive guide to exploring rendering algorithms in modern OpenGL and Vulkan

Arrow left icon
Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781838986193
Length 670 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
Viktor Latypov Viktor Latypov
Author Profile Icon Viktor Latypov
Viktor Latypov
Sergey Kosarevsky Sergey Kosarevsky
Author Profile Icon Sergey Kosarevsky
Sergey Kosarevsky
Arrow right icon
View More author details
Toc

Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Establishing a Build Environment 2. Chapter 2: Using Essential Libraries FREE CHAPTER 3. Chapter 3: Getting Started with OpenGL and Vulkan 4. Chapter 4: Adding User Interaction and Productivity Tools 5. Chapter 5: Working with Geometry Data 6. Chapter 6: Physically Based Rendering Using the glTF2 Shading Model 7. Chapter 7: Graphics Rendering Pipeline 8. Chapter 8: Image-Based Techniques 9. Chapter 9: Working with Scene Graphs 10. Chapter 10: Advanced Rendering Techniques and Optimizations 11. Other Books You May Enjoy

Precomputing irradiance maps and diffuse convolution

The second part of the split sum approximation necessary to calculate the glTF2 physically based shading model comes from the irradiance cube map, which is precalculated by convolving the input environment cube map with the GGX distribution of our shading model.

Getting ready

Check out the source code for this recipe in Chapter6/Util01_FilterEnvmap. If you want to dive deep into the math theory behind these computations, make sure you read Brian Karis's paper at https://cdn2.unrealengine.com/Resources/files/2013SiggraphPresentationsNotes-26915738.pdf.

How to do it...

This code is written for simplicity rather than for speed or precision, so it does not use importance sampling and convolves the input cube map using simple Monte Carlo integration and the Hammersley sequence to generate uniformly distributed 2D points on an equirectangular projection of our input cube map.

The source code can be found in the Chapter6...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime