Computer Vision and Augmented Reality in IOS: Opencv and Arkit Applications

ISBN-13: 9781484274613 / Angielski / Miękka / 2021 / 176 str.

Ahmed Bekhit

Spis treści

 

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

O autorze

Ahmed Bekhit is the Co-Founder and Chief Technology Officer at Magic Studio; a software company based in Boca Raton, Florida that focuses on developing cutting edge video processing and streaming technologies. In the early days of Ahmed’s career in Software Engineering, he was awarded the Apple WWDC Scholarship three times in a row and was also titled “Apple’s Whiz Kid” by the Wall Street Journal at the age of 15. As of today, Ahmed has been writing software for over a decade. He also regulary contributes to the open-source community and has been known for creating ARVideoKit; an iOS framework that renders ARKit content to capture videos, GIFs, and live photos with augmented reality components. Ahmed has developed and published independent iOS applications that have reached over three million users.

Blurb

Learn how computer vision works, how augmented reality renders digital graphics into the physical world via an iPhone’s camera, and how to incorporate these technologies into your own apps. This book shows you how to take full advantage of computer vision technologies.

Interacting with other people online usually involves user-generated images and videos; whether it be “memes”, short videos, or heavily-modified images. Before smart phones, generating this content required a professional using high-level image and video editing software. Not any more. 

This book will teach you to use computer vision in the most popular ways, such as for facial recognition, image to text analysis and, of course, recording a video of a dancing hot dog in your living room. Starting with the history of computer vision, image and video processing fundamentals, and an introduction to developing augmented reality applications, you’ll learn to incorporate computer vision both in the content you create and the apps you develop for end users. 

Computer Vision and Augmented Reality in iOS reveals how every user with access to the Internet and a smart phone can easily generate heavily-modified images and videos. 

You will:

• Incorporate mathematics related to computer vision into your apps
  
• Host computer vision models remotely for mobile use
  
• Implement visual-inertial state estimation algorithms for mobile augmented reality