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

Author:   Ahmed Fathi Bekhit
Publisher:   APress
Edition:   1st ed.
ISBN:  

9781484274613


Pages:   159
Publication Date:   08 December 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Computer Vision and Augmented Reality in iOS: OpenCV and ARKit Applications


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Author:   Ahmed Fathi Bekhit
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.279kg
ISBN:  

9781484274613


ISBN 10:   148427461
Pages:   159
Publication Date:   08 December 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

  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

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Author Information

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.

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