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Computer Vision and Augmented Reality in iOS

OpenCV and ARKit Applications

  • Book
  • © 2022

Overview

Authors:
  1. Ahmed Fathi Bekhit

    1. Boca Raton, USA

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  • Integrate existing computer vision algorithms into iOS apps
  • Incorporate custom computer vision models with ARKit
  • Develop iOS computer vision models that can be used on any platform

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Introduction to Computer Vision

    • Ahmed Fathi Bekhit
    Pages 1-20

  3. Introduction to Augmented Reality

    • Ahmed Fathi Bekhit
    Pages 21-30

  4. Image and Video Processing Fundamentals

    • Ahmed Fathi Bekhit
    Pages 31-48

  5. Computer Vision Applications

    • Ahmed Fathi Bekhit
    Pages 49-84

  6. Custom Object Tracking

    • Ahmed Fathi Bekhit
    Pages 85-110

  7. Augmented Reality Using OpenCV

    • Ahmed Fathi Bekhit
    Pages 111-129

  8. Augmented Reality Using ARKit and OpenCV

    • Ahmed Fathi Bekhit
    Pages 131-152

  9. Back Matter

    Pages 153-159
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Keywords

About this book

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 youcreate 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. 

What You'll Learn
  • 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



Who This Book Is For


Professionals or post graduate students in software development or engineering who have a basic understanding of how software development works and are interested in implementing computer vision into their development. It's recommended that readers already have a working knowledge of C++ and Swift. 

Authors and Affiliations

  • Boca Raton, USA

    Ahmed Fathi Bekhit

About the author

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.

Bibliographic Information

  • Book Title: Computer Vision and Augmented Reality in iOS

  • Book Subtitle: OpenCV and ARKit Applications

  • Authors: Ahmed Fathi Bekhit

  • DOI: https://doi.org/10.1007/978-1-4842-7462-0

  • Publisher: Apress Berkeley, CA

  • eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)

  • Copyright Information: Ahmed Fathi Bekhit 2022

  • Softcover ISBN: 978-1-4842-7461-3Published: 08 December 2021

  • eBook ISBN: 978-1-4842-7462-0Published: 07 December 2021

  • Edition Number: 1

  • Number of Pages: XIII, 159

  • Number of Illustrations: 40 b/w illustrations, 102 illustrations in colour

  • Topics: Apple and iOS

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