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Deep learning in computer visionprinciples and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Deep learning in computer visionedited by Mahmoud Hassaballah and Ali Ismail Awad.
Reminder of title:	principles and applications /
other author:	Hassaballah, Mahmoud.
Published:	Boca Raton, FL :CRC Press,c2020.
Description:	1 online resource.
Subject:	Computer vision.
Online resource:	https://www.taylorfrancis.com/books/9781351003827
ISBN:	9781351003827$q(ebook)

Deep learning in computer visionprinciples and applications /
Deep learning in computer visionprinciples and applications /[electronic resource] :edited by Mahmoud Hassaballah and Ali Ismail Awad. - Boca Raton, FL :CRC Press,c2020. - 1 online resource. - Digital imaging and computer vision series. - Digital imaging and computer vision series..

Includes bibliographical references and index.

"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"--

ISBN: 9781351003827$q(ebook)

LCCN: 2019057833Subjects--Topical Terms:

200113
Computer vision.

LC Class. No.: TA1634

Dewey Class. No.: 006.3/7

Deep learning in computer visionprinciples and applications /
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245 0 0 $a Deep learning in computer vision $h [electronic resource] : $b principles and applications / $c edited by Mahmoud Hassaballah and Ali Ismail Awad.
260 $a Boca Raton, FL : $b CRC Press, $c c2020.
300 $a 1 online resource.
490 1 $a Digital imaging and computer vision series
504 $a Includes bibliographical references and index.
520 $a "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"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Computer vision. $3 200113
650 0 $a Machine learning. $3 188639
700 1 $a Hassaballah, Mahmoud. $3 740856
700 1 $a Awad, Ali Ismail. $3 740855
830 0 $a Digital imaging and computer vision series. $3 649211
856 4 0 $u https://www.taylorfrancis.com/books/9781351003827