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  • Learn ARCore - Fundamentals of Google ARCore
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Learn ARCore - Fundamentals of Google ARCore

Learn ARCore - Fundamentals of Google ARCore

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Learn ARCore - Fundamentals of Google ARCore

Learn ARCore - Fundamentals of Google ARCore

3 (3)

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.
Table of Contents (13 chapters)
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TensorFlow


There is a new kid on the block called TensorFlow, also developed by Google, that is making impressive waves in ML. TensorFlow is a full ML platform that is actually more than just an execution engine with a bunch of built-in tools. What is even more impressive is that you can train advanced neural nets, convolutional neural networks, capsule networks, or whatever else you need on massive datasets offline. Then, you take those trained networks and put them on a mobile device in what is called a MobileNet to quickly recognize and classify complex objects. We will take a break from ARCore in this section and look at the upcoming power of TensorFlow.

Note

TensorFlow is an advanced ML resource and toolkit that will be worth your time, learning more about whether you need to do any advanced recognition tasks. Keep in mind, though, that this tool requires advanced knowledge in math and a working knowledge of Python.

We will run the TensorFlow example for Android, not just to get a grasp...

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