Deep Learning in Computer Vision
principles and applications
$164.00
- Hardcover
322 pages
- Release Date
7 April 2020
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…
Book Details
| ISBN-13: | 9781138544420 |
|---|---|
| ISBN-10: | 1138544426 |
| Series: | Digital Imaging and Computer Vision |
| Author: | Mahmoud Hassaballah, Ali Ismail Awad |
| Publisher: | Taylor & Francis Ltd |
| Imprint: | CRC Press |
| Format: | Hardcover |
| Number of Pages: | 322 |
| Release Date: | 7 April 2020 |
| Weight: | 653g |
| Dimensions: | 234mm x 156mm |
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About The Author
Mahmoud Hassaballah
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.
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