Computer Vision and Augmented Reality in iOS: OpenCV and ARKit Applications

1. Brief History of Computer Vision

This chapter will focus on the history of computer vision, what it is, the importance of it and its applications.

a. What is Computer Vision?

b. Why do we need it?

c. The evolution of Computer Vision

d. Computer Vision Applications

2. Introduction to Augmented Reality

This chapter will introduce Augmented Reality and its different applications to the reader.

a. What is augmented reality?

b. How does it work?

c. How can I use this technology?

3. Image and Video Processing Fundamentals

This chapter will go over fundamental mathematics and algorithms that will be used throughout the book.

a. Math overview

b. Computer Vision basics

c. Standard algorithms

d. Implementing standard algorithms using OpenCV

4. Building Computer Vision Applications using OpenCV & Vision Framework

This chapter will cover various Computer Vision applications and how to implement them.

a. Face Detection / Recognition

b. Body Detection / Tracking

c. Image to Text Analysis

5. Building Custom Models

This chapter will cover developing custom Computer Vision models / algorithms.

a. Custom Object Tracking

b. Custom Barcode Generator / Reader (similar to Snapchat Codes aka Snapcodes)

6. Augmented Reality using OpenCV

This chapter will cover the two main approaches used in the Augmented Reality industry; marker-based & marker-less AR.

a. Marker-based Augmented Reality

b. Marker-less Augmented Reality using Visual Inertial Estimation on a Phone

7. Augmented Reality using ARKit & OpenCV

This chapter will cover how to use both ARKit and OpenCV technologies simultaneously.

a. Using Body Tracking with ARKit

b. Using Face Detection with ARKit