SpringerBriefs in Computer Science
cover

Image Processing and Computer Vision in iOS

Authors: Marques, Oge

  • 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
Show all benefits

Buy this book

eBook $44.99
price for Brazil
  • The eBook version of this title will be available soon
  • Due: 20 de Janeiro de 2021
  • ISBN 978-3-030-54032-6
  • Digitally watermarked, DRM-free
  • Included format:
  • Immediate eBook download after purchase and usable on all devices
Softcover $59.99
price for Brazil
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: 23 de Dezembro de 2020
  • ISBN 978-3-030-54030-2
  • Free shipping for individuals worldwide. Please be advised Covid-19 shipping restrictions apply. Please review prior to ordering
  • Usually ready to be dispatched within 3 to 5 business days
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. 

About the authors

​Oge Marques, PhD is Professor of Computer Science and Engineering at Florida Atlantic University. He is the author of eleven books and more than 120 refereed scholarly publications in the area of intelligent processing of visual information – which combines the fields of image processing, computer vision, (medical) image analysis, machine learning, AI, deep learning, and human visual perception.
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 of teaching 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).

Buy this book

eBook $44.99
price for Brazil
  • The eBook version of this title will be available soon
  • Due: 20 de Janeiro de 2021
  • ISBN 978-3-030-54032-6
  • Digitally watermarked, DRM-free
  • Included format:
  • Immediate eBook download after purchase and usable on all devices
Softcover $59.99
price for Brazil
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: 23 de Dezembro de 2020
  • ISBN 978-3-030-54030-2
  • Free shipping for individuals worldwide. Please be advised Covid-19 shipping restrictions apply. Please review prior to ordering
  • Usually ready to be dispatched within 3 to 5 business days
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Image Processing and Computer Vision in iOS
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
The Author(s)
eBook ISBN
978-3-030-54032-6
DOI
10.1007/978-3-030-54032-6
Softcover ISBN
978-3-030-54030-2
Series ISSN
2191-5768
Edition Number
1
Number of Pages
X, 58
Number of Illustrations
8 b/w illustrations, 4 illustrations in colour
Topics