Book Image

Learn ARCore - Fundamentals of Google ARCore

Book Image

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.
Table of Contents (17 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Introduction to ML


Machine Learning is a term widely used to refer to artificial intelligence and related computer predictive analytical models. The name Machine Learning, while perhaps overly generalized, fits better than the term AI. However, Machine Learning is itself such a broad term that it perhaps needs some further explanation and clarification. A machine obviously refers to a computer, or other device and learning tends to denote an algorithm or model that will evolve or learn over time. However, this is often not the case in many Machine Learning models. Therefore, for our purposes, we will use the broader term of Machine Learning to refer to any tool or algorithm that can be trained to recognize the environment or parts of the environment in AR, thus allowing us, the developers, to better augment our user's world.

Note

Data science and Machine Learning go hand in hand. Data science is all about making sense of data, extracting patterns, and making predictions. In essence, when you...