Title Deep learning in computer vision : principles and applications / edited by Mahmoud Hassaballah and Ali Ismail Awad

Published Boca Raton : CRC Press, Taylor and Francis, [2020]

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Description 1 online resource (xvi, 322 pages) : illustrations (chiefly color) Series Digital imaging and computer vision Digital imaging and computer vision series. Summary "Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. 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. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition"-- Provided by publisher Bibliography Includes bibliographical references and index Notes 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, Lule ̄University of Technology, Lule,̄ 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 Description based on online resource; title from digital title page (viewed on June 24, 2020) Subject Computer vision. Machine learning. COMPUTERS / Machine Theory MATHEMATICS / Arithmetic TECHNOLOGY / Electricity Computer vision Machine learning Form Electronic book Author Hassaballah, Mahmoud, editor. Awad, Ali Ismail, editor. LC no. 2019057833 ISBN 9781351003827 1351003828 9781351003810 135100381X 9781351003803 1351003801 9781351003797 1351003798

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