Image Processing and Computer Vision in iOS

By:

Oge Marques

Format:

Paperback / softback

Series:

Springerbriefs in Computer Science

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Description

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.

Author Biography:

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).

Release date Australia

November 24th, 2020

Author

Oge Marques

Series

Springerbriefs in Computer Science

Pages

Edition

1st ed. 2020

Audience

Professional & Vocational

Illustrations

4 Illustrations, color; 8 Illustrations, black and white; X, 58 p. 12 illus., 4 illus. in color.

ISBN-13

9783030540302

Product ID

33557265

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