Deep Learning in Computer Vision: Principles and Applications (Digital Imaging and Computer Vision) - Hardcover

Hardcover

ISBN 10: 1138544426 ISBN 13: 9781138544420

Verlag: CRC Press, 2020

Inhaltsangabe

This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community.

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Über die Autorin bzw. den Autor

Mahmoud Hassaballah received the Doctor of Engineering (D. Eng.) in Computer Science from Ehime University, Japan in 2011. He was a visiting scholar with the Department of Computer & Communication Science, Wakayama University, Japan and GREAH laboratory, Le Havre Normandie University, France. He is currently an Associate Professor of Computer Science at the Faculty of Computers and Information, South Valley University, Egypt. His research interests include feature extraction, object detection/recognition, artificial intelligence, biometrics, image processing, computer vision, machine learning, and data hiding.

Ali Ismail Awad is currently an Associate Professor (Docent) with the Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Luleå, Sweden, where he also serves as a Coordinator of the Master Programme in Information Security. He is a Visiting Researcher with the University of Plymouth, United Kingdom. He is also an Associate Professor with the Electrical Engineering Department, Faculty of Engineering, Al-Azhar University at Qena, Qena, Egypt. His research interests include information security, Internet-of-Things security, image analysis with applications in biometrics and medical imaging, and network security.

Details zur Ausgabe

• Verlag: CRC Press
• Erscheinungsdatum: 2020
• Sprache: Englisch
• ISBN 10: 1138544426
• ISBN 13: 9781138544420
• Einband: Tapa dura
• Auflage: 1
• Anzahl der Seiten: 338
• Herausgeber: Hassaballah Mahmoud, Awad Ali Ismail
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar