@article{1443182,
      recid = {1443182},
      author = {Bekhit, Ahmed Fathi,},
      title = {Computer vision and augmented reality in iOS : OpenCV and  ARKit applications /},
      pages = {1 online resource (169 pages)},
      note = {Includes index.},
      abstract = {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},
      url = {http://library.usi.edu/record/1443182},
      doi = {https://doi.org/10.1007/978-1-4842-7462-0},
}