Marques Image Processing and Computer Vision in iOS

1. Auflage 2020
ISBN: 978-3-030-54032-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)

E-Book, Englisch, 58 Seiten, eBook

Reihe: SpringerBriefs in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Marques, Oge

Über Autor(innen)

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 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).