Overview
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.
The book, Computer Vision and Augmented Reality in iOS: OpenCV and ARKit Applications [Bulk, Wholesale, Quantity] ISBN#9781484274613 in Paperback by Ahmed Fathi Bekhit may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
Format:
Paperback
Publication Date:
12/08/2021
ISBN-13:
9781484274613
Pages:
159
Publisher:
Apress
