Book Image

Unreal Engine 4 Virtual Reality Projects

By : Kevin Mack, Robert Ruud
Book Image

Unreal Engine 4 Virtual Reality Projects

By: Kevin Mack, Robert Ruud

Overview of this book

Unreal Engine 4 (UE4) is a powerful tool for developing VR games and applications. With its visual scripting language, Blueprint, and built-in support for all major VR headsets, it's a perfect tool for designers, artists, and engineers to realize their visions in VR. This book will guide you step-by-step through a series of projects that teach essential concepts and techniques for VR development in UE4. You will begin by learning how to think about (and design for) VR and then proceed to set up a development environment. A series of practical projects follows, taking you through essential VR concepts. Through these exercises, you'll learn how to set up UE4 projects that run effectively in VR, how to build player locomotion schemes, and how to use hand controllers to interact with the world. You'll then move on to create user interfaces in 3D space, use the editor's VR mode to build environments directly in VR, and profile/optimize worlds you've built. Finally, you'll explore more advanced topics, such as displaying stereo media in VR, networking in Unreal, and using plugins to extend the engine. Throughout, this book focuses on creating a deeper understanding of why the relevant tools and techniques work as they do, so you can use the techniques and concepts learned here as a springboard for further learning and exploration in VR.
Table of Contents (20 chapters)
Title Page
About Packt
Contributors
Preface
12
Where to Go from Here
Index

Appendix 3. Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Hands-On Data Science and Python Machine Learning Frank Kane

ISBN: 978-1-78728-074-8

 

    • Learn how to clean your data and ready it for analysis
    • Implement the popular clustering and regression methods in Python
    • Train efficient machine learning models using decision trees and random forests
    • Visualize the results of your analysis using Python's Matplotlib library
    • Use Apache Spark's MLlib package to perform machine learning on large datasets

Kali Linux Cookbook - Second Edition Corey P. Schultz, Bob Perciaccante

ISBN: 978-1-78439-030-3

  • Acquire the key skills of ethical hacking to perform penetration testing
  • Learn how to perform network reconnaissance
  • Discover vulnerabilities in hosts
  • Attack vulnerabilities to take control of workstations and servers
  • Understand password cracking to bypass security
  • Learn how to hack into wireless networks
  • Attack web and database servers to exfiltrate data
  • Obfuscate your command and control connections to avoid firewall and IPS detection