Oge Marques 
Image Processing and Computer Vision in iOS [PDF ebook] 

Wsparcie

This book presents the fundamentals of mobile visual computing in i OS development and provides directions for developers and researchers interested in developing i OS 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 i OS applications Image Processing and Computer Vision in i OS 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. 

€53.49
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O autorze

​Oge Marques, Ph D 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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Język Angielski ● Format PDF ● Strony 58 ● ISBN 9783030540326 ● Rozmiar pliku 1.4 MB ● Wydawca Springer International Publishing ● Miasto Cham ● Kraj CH ● Opublikowany 2020 ● Do pobrania 24 miesięcy ● Waluta EUR ● ID 7690354 ● Ochrona przed kopiowaniem Społeczny DRM

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