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Image Processing and Computer Vision in iOS

  • Book
  • © 2020

Overview

Authors:
  1. Oge Marques

    1. Department of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, USA

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  • 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)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Introduction

    • Oge Marques
    Pages 1-5

  3. Image Processing and Computer Vision iOS App Development: The Basics

    • Oge Marques
    Pages 7-18

  4. Core Image

    • Oge Marques
    Pages 19-27

  5. Machine Learning with Core ML

    • Oge Marques
    Pages 29-40

  6. Computer Vision and Image Analysis with the Vision Framework

    • Oge Marques
    Pages 41-50

  7. OpenCV and iOS

    • Oge Marques
    Pages 51-58
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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

  • Department of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, USA

    Oge Marques

About the author

​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).




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