Creating Augmented and Virtual Realities : Theory and Practice for Next-Generation Spatial Computing - Erin  Pangilinan

eTEXT

Creating Augmented and Virtual Realities

Theory and Practice for Next-Generation Spatial Computing

By: Erin Pangilinan, Steve Lukas, Vasanth Mohan

eText | 18 March 2019 | Edition Number 1

At a Glance

eText


$53.89

or 4 interest-free payments of $13.47 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Read online on
Desktop
Tablet
Mobile

Not downloadable to your eReader or an app

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

Despite popular forays into augmented and virtual reality in recent years, spatial computing still sits on the cusp of mainstream use. Developers, artists, and designers looking to enter this field today have few places to turn for expert guidance. In this book, Erin Pangilinan, Steve Lukas, and Vasanth Mohan examine the AR and VR development pipeline and provide hands-on practice to help you hone your skills.

Through step-by-step tutorials, you'll learn how to build practical applications and experiences grounded in theory and backed by industry use cases. In each section of the book, industry specialists, including Timoni West, Victor Prisacariu, and Nicolas Meuleau, join the authors to explain the technology behind spatial computing.

In three parts, this book covers:

  • Art and design: Explore spatial computing and design interactions, human-centered interaction and sensory design, and content creation tools for digital art
  • Technical development: Examine differences between ARKit, ARCore, and spatial mapping-based systems; learn approaches to cross-platform development on head-mounted displays
  • Use cases: Learn how data and machine learning visualization and AI work in spatial computing, training, sports, health, and other enterprise applications
Read online on
Desktop
Tablet
Mobile

More in Graphical & Digital Media Applications