Computer vision and augmented reality in iOS : OpenCV and ARKit applications / Ahmed Fathi Bekhit.
Bekhit, Ahmed Fathi, author.
2022
TA1634 .B45 2022eb
Available Online

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Title Computer vision and augmented reality in iOS : OpenCV and ARKit applications / Ahmed Fathi Bekhit.
Author Bekhit, Ahmed Fathi, author.
ISBN 9781484274620 (electronic bk.)
1484274628 (electronic bk.)
148427461X
9781484274613
DOI https://doi.org/10.1007/978-1-4842-7462-0
Published [New York, NY] : Apress, [2022]
Language English
Description 1 online resource (169 pages)
Item Number 10.1007/978-1-4842-7462-0 doi
9781484274613
9781484274620
Call Number TA1634 .B45 2022eb
Dewey Decimal Classification 006.3/7
Summary 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. 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
Note Includes index.
Access Note Access limited to authorized users.
Copyright Information © Copyright 2022 Ahmed Fathi Bekhit. 2022
Digital File Characteristics text file
Source of Description Online resource; title from digital title page (viewed on February 01, 2022).
Available in Other Form Computer Vision and Augmented Reality in IOS.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Chapter 1. Introduction to Computer Vision
Chapter 2. Introduction to Augmented Reality
Chapter 3. Image and Video Processing Fundamentals
Chapter 4. Computer Vision Applications
Chapter 5. Custom Object Tracking
Chapter 6. Augmented Reality using OpenCV
Chapter 7. Augmented Reality using ARKit & OpenCV.

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