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Learn ARCore - Fundamentals of Google ARCore

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Buy this Book

Learn ARCore - Fundamentals of Google ARCore

3 (3)

Buy this Book

Overview of this book

Are you a mobile developer or web developer who wants to create immersive and cool Augmented Reality apps with the latest Google ARCore platform? If so, this book will help you jump right into developing with ARCore and will help you create a step by step AR app easily. This book will teach you how to implement the core features of ARCore starting from the fundamentals of 3D rendering to more advanced concepts such as lighting, shaders, Machine Learning, and others. We’ll begin with the basics of building a project on three platforms: web, Android, and Unity. Next, we’ll go through the ARCore concepts of motion tracking, environmental understanding, and light estimation. For each core concept, you’ll work on a practical project to use and extend the ARCore feature, from learning the basics of 3D rendering and lighting to exploring more advanced concepts. You’ll write custom shaders to light virtual objects in AR, then build a neural network to recognize the environment and explore even grander applications by using ARCore in mixed reality. At the end of the book, you’ll see how to implement motion tracking and environment learning, create animations and sounds, generate virtual characters, and simulate them on your screen.

Preface

Who this book is for

What this book covers

To get the most out of this book

Get in touch

Free Chapter

Getting Started

Immersive computing

AR and ARCore

The road ahead

Summary

ARCore on Android

Installing Android Studio

Installing ARCore

Build and deploy

Exploring the code

Summary

ARCore on Unity

Installing Unity and ARCore

Building and deploying to Android

Remote debugging

Exploring the code

Summary

ARCore on the Web

Installing WebARonARCore

Installing Node.js

Exploring the samples

Debugging web apps on Android

3D and three.js

Summary

Real-World Motion Tracking

Motion tracking in depth

3D sound

Resonance Audio

A tracking service with Firebase

Visualizing tracked motion

Exercises

Summary

Understanding the Environment

Tracking the point cloud

Meshing and the environment

Interacting with the environment

Drawing with OpenGL ES

Shader programming

Exercises

Summary

Light Estimation

3D rendering

3D lighting

Light estimation

Cg/HLSL shaders

Estimating light direction

Exercises

Summary

Recognizing the Environment

Introduction to ML

Deep learning

Programming a neural network

Training a neural network

TensorFlow

Summary

Blending Light for Architectural Design

Setting up the project

The environment and placing content

Building the UI

Interacting with the virtual

Lighting and shadows

Exercises

Summary

Mixing in Mixed Reality

Mixed reality and HoloKit

Introducing WRLD

Setting up WRLD for MR

Navigating the map

Mapping, GIS, and GPS

What's next?

Exercises

Summary

Performance Tips and Troubleshooting

Diagnosing performance

Tips for managing better performance

General troubleshooting

Exercises

Troubleshooting tips

Summary

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Tracking the point cloud

As we discussed, motion tracking in ARCore is done by identifying and tracking recognizable features around the user. It then uses those points with the device's orientation and accelerometer sensors to keep its tracking updated. Without doing this, the ability to track accurately quickly falls apart. Additionally, we gain the benefit of now tracking multiple points that ARCore identifies as object points. Let's see an example of what these tracking points look like by starting up the sample ARCore Android app again. Follow the given steps to get started:

Open Android Studio. If you haven't opened any other projects, then it should immediately load the Android ARCore sample project. If not, load the project in the Android/arcore-android-sdk/samples/java_arcore_hello_ar folder.
Open the HelloArActivity.java file and scroll down to the...