Erschienen: 08.12.2021 Abbildung von Bekhit | Computer Vision and Augmented Reality in iOS | 1. Auflage | 2021 | beck-shop.de

Bekhit

Computer Vision and Augmented Reality in iOS

OpenCV and ARKit Applications

lieferbar ca. 10 Tage als Sonderdruck ohne Rückgaberecht

ca. 40,65 €

Preisangaben inkl. MwSt. Abhängig von der Lieferadresse kann die MwSt. an der Kasse variieren. Weitere Informationen

auch verfügbar als eBook (PDF) für 39.99 €

Fachbuch

Buch. Softcover

1st ed.. 2021

xiii, 159 S. 40 s/w-Abbildungen, 102 Farbabbildungen, Bibliographien.

In englischer Sprache

Apress. ISBN 978-1-4842-7461-3

Format (B x L): 15,5 x 23,5 cm

Gewicht: 279 g

Produktbeschreibung

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. You will: - 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

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