In this chapter, we took a proverbial dive into the deep end—or the deep learning end—of the pool. We started by talking about the importance of ML and what applications we can use it for in AR. Then, we looked at how ML can use various methods of learning from unsupervised, supervised, and reinforcement learning in order to teach an ML agent to learn. We then looked at a specific example of learning ML algorithms, called neural networks and often referred to as deep learning. This led us to build a simple neural network that you can also use to learn the intricacies of neural networks on your own. NNs are very complex and not very intuitive, and it is helpful to understand their basic structure well. We then trained this network on a very simple dataset to notify the user if they get too close to an object. This led to a further discussion of how NNs train with back propagation using the gradient descent algorithm. After that, we looked at an enhanced example that allows you to...
Learn ARCore - Fundamentals of Google ARCore
Learn ARCore - Fundamentals of Google ARCore
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.
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Current Title:
Learn ARCore - Fundamentals of Google ARCore
Table of Contents (17 chapters)
Title Page
Packt Upsell
Contributors
Preface
Free Chapter
Getting Started
ARCore on Android
ARCore on Unity
ARCore on the Web
Real-World Motion Tracking
Understanding the Environment
Light Estimation
Recognizing the Environment
Blending Light for Architectural Design
Mixing in Mixed Reality
Performance Tips and Troubleshooting
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Index
Customer Reviews