Overview
- Combined coverage of image processing, computer vision, machine learning and deep learning applied to iOS app development
- Covers the most relevant libraries, frameworks, and APIs for mobile visual computing, including Core Image, Core ML, Apple Vision Framework, and OpenCV
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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Table of contents (6 chapters)
Keywords
About this book
This book presents the fundamentals of mobile visual computing in iOS development and provides directions for developers and researchers interested in developing iOS applications with image processing and computer vision capabilities.
Presenting a technical overview of some of the tools, languages, libraries, frameworks, and APIs currently available for developing iOS applications Image Processing and Computer Vision in iOS reveals the rich capabilities in image processing and computer vision. Its main goal is to provide a road map to what is currently available, and a path to successfully tackle this rather complex but highly rewarding task.
Authors and Affiliations
About the author
Dr. Marques is a Senior Member of both the IEEE and the ACM, as well as a Sigma Xi Distinguished Speaker, a Fellow of the Leshner Leadership Institute of the American Association for the Advancement of Science (AAAS), Tau Beta Pi Eminent Engineer, and a member of the American Society for Engineering Education (ASEE), the American Association for the Advancement of Science (AAAS), and the honor societies of Sigma Xi, Phi Kappa Phi and Upsilon Pi Epsilon. Dr. Marques has more than thirty years ofteaching and research experience in eight countries, and has won several teaching awards; most recently the Engineering Educator of the Year Award, The Engineers’ Council (2019).
Bibliographic Information
Book Title: Image Processing and Computer Vision in iOS
Authors: Oge Marques
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-3-030-54032-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2020
Softcover ISBN: 978-3-030-54030-2Published: 24 November 2020
eBook ISBN: 978-3-030-54032-6Published: 23 November 2020
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: X, 58
Number of Illustrations: 8 b/w illustrations, 4 illustrations in colour
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Apple and iOS, Mobile Computing, Image Processing and Computer Vision, Signal, Image and Speech Processing