MARC状态：审校 文献类型：西文图书 浏览次数：87
- 题名/责任者:
- Deep learning in computer vision : principles and applications / edited by Mahmoud Hassaballah and Ali Ismail Awad.
- 出版发行项:
- Boca Raton, FL : CRC Press, Taylor & Francis Group, [2020]
- ISBN:
- 9781138544420
- 载体形态项:
- xvi, 322 pages : illustrations ; 24 cm.
- 其他载体形态:
- Online version: Deep learning in computer vision First edition. Boca Raton, FL : CRC Press/Taylor and Francis, 2020. 9781351003827
- 附加个人名称:
- Hassaballah, Mahmoud, editor.
- 附加个人名称:
- Awad, Ali Ismail, editor.
- 论题主题:
- Computer vision.
- 论题主题:
- Machine learning.
- 中图法分类号:
- TP181
- 书目附注:
- Includes bibliographical references and index.
- 摘要附注:
- "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.
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