Computer Vision and Augmented Reality in iOS: OpenCV and ARKit Applications, 1st Edition

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

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.