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Ahmed Fathi Bekhit - Computer Vision and Augmented Reality in iOS: OpenCV and ARKit Applications

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Ahmed Fathi Bekhit Computer Vision and Augmented Reality in iOS: OpenCV and ARKit Applications
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Learn how computer vision works, how augmented reality renders digital graphics into the physical world via an iPhones 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, youll 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.

What Youll 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. Its recommended that readers already have a working knowledge of C++ and Swift.

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Book cover of Computer Vision and Augmented Reality in iOS Ahmed Fathi - photo 1
Book cover of Computer Vision and Augmented Reality in iOS
Ahmed Fathi Bekhit
Computer Vision and Augmented Reality in iOS
OpenCV and ARKit Applications
Logo of the publisher Ahmed Fathi Bekhit Boca Raton FL USA ISBN - photo 2
Logo of the publisher
Ahmed Fathi Bekhit
Boca Raton, FL, USA
ISBN 978-1-4842-7461-3 e-ISBN 978-1-4842-7462-0
https://doi.org/10.1007/978-1-4842-7462-0
Ahmed Fathi Bekhit 2022
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Apress imprint is published by the registered company APress Media, LLC part of Springer Nature.

The registered company address is: 1 New York Plaza, New York, NY 10004, U.S.A.

This book is dedicated to the memory of Daniel Bakhtiyarov.

Acknowledgments

I would like to acknowledge the extraordinary support I have received from family and friends throughout the journey of writing this book; I am extremely fortunate and grateful to have such an amazing support system around me. Thank you, David Parshenkov, Fathi Bekhit, Mohamed Bekhit, Hazem Abdeltawab, Youssef Gamal, Ahmed Abdulkareem, Seif Hediya, and Amr Aly, for all the love and support you have given me that encouraged me throughout this journey. I love you all.

This book is a reality today thanks to Aaron Black, Senior Acquisitions Editor at Apress, for believing in me; Jessica Vakili, Coordinating Editor at Apress, for the continual support and feedback; Akanksha Devkar, Deep Learning Engineer, for the amazing feedback to make this book comprehensive; and Affan Abbas, Deep Learning Researcher, for the brilliant input and feedback on state-of-the-art computer vision technologies used in academia today.

Last but not least, thank you, Leo, for being there for me in the late nights I spent writing this book. I could not have done it without you.

Table of Contents
About the Author
Ahmed Fathi Bekhit
is Cofounder and Chief Technology Officer at Magic Studio a software company - photo 3
is Cofounder 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 Ahmeds career in software engineering, he was awarded the Apple WWDC Scholarship three times in a row and was also titled Apples Whiz Kid by The Wall Street Journal at the age of 15.

As of today, Ahmed has worked as a software engineer with a few startups for seven years, and he has been writing software for over a decade. He also regularly 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. In addition to developing software, Ahmed has interest in writing educational material that is focused on software engineering to share his background and knowledge with others. For example, he contributed various articles on the tutorial site AppCoda. He also published educational material through Stanford Universitys Scholar Initiative. Additionally, over the past few years, Ahmed developed and published independent iOS applications that reached over five million users. Ahmeds engineering work has been notably integrated in Emmy-winning software and licensed to help with the COVID vaccine manufacturing pipeline.

About the Technical Reviewer
Massimo Nardone
has more than 22 years of experience in security webmobile development and - photo 4
has more than 22 years of experience in security, web/mobile development, and cloud and IT architecture. His true IT passions are security and Android.

He has been programming and teaching how to program with Android, Perl, PHP, Java, VB, Python, C/C++, and MySQL for more than 20 years.

He holds a Master of Science degree in computing science from the University of Salerno, Italy.

He has worked as a project manager, software engineer, research engineer, chief security architect, information security manager, PCI/SCADA auditor, and senior lead IT security/cloud/SCADA architect for many years.

Ahmed Fathi Bekhit 2022
A. F. Bekhit Computer Vision and Augmented Reality in iOS https://doi.org/10.1007/978-1-4842-7462-0_1
1. Introduction to Computer Vision
Ahmed Fathi Bekhit
(1)
Boca Raton, FL, USA

This chapter will focus on what computer vision is, why we need it, the evolution of the technology, its different applications, and how it is used in Augmented Reality.

What Is Computer Vision?

Vision is the ability to analyze and interpret scenes and objects of interest. Human vision has been studied for hundreds of years to understand how the visual process works. The human visual process is one of the most complex processes to understand. In fact, to this day, vision scientists have not yet found a complete answer to how the visual process works. However, vision scientists discoveries on how the human visual process begins and a little beyond that inspired computer scientists to develop what we know today as Computer Vision. Vision researchers and scientists describe that the visual process begins with the eyes processing signals of light and converting them into scenes and images for the brains visual cortex to analyze and interpret. A breakthrough in vision research in the 1950s discovered that the visual process begins by detecting the simple structures and edges of an image to help build up a more detailed interpretation as the visual information becomes more complex. The breakthrough vision research inspired computer scientists to develop the preprocessing Computer Vision algorithms we use today to initiate every computer vision task. Compared to a typical computer today, the human brain computing speed is significantly slower than a computers computing speed, yet the human brain performs vision tasks much faster and significantly better than any computer. Hence, researchers inspiration to develop Computer Vision algorithms has always been the evolution of vision in nature.

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