Deep learning in computer vision : principles and applications

Bibliographische Detailangaben

Titel
Deep learning in computer vision principles and applications
verantwortlich
Hassaballah, Mahmoud (HerausgeberIn); Awad, Ali Ismail (HerausgeberIn)
veröffentlicht
Boca Raton, London, New York: CRC Press, Taylor & Francis Group, [2020]
© 2020
Erscheinungsjahr
2020
Teil von
Digital imaging and computer vision series
Erscheint auch als
Deep learning in computer vision, Boca Raton, FL : CRC Press/Taylor and Francis, 2020
Erscheint auch als
Deep learning in computer vision, Boca Raton : CRC Press, 2020, 1 Online-Ressource (xvi, 322 Seiten)
Andere Ausgaben
Deep learning in computer vision: principles and applications
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Zusammenfassung
"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"--
Umfang
xvi, 322 Seiten; Illustrationen, Diagramme
Sprache
Englisch
Schlagworte
Maschinelles Sehen > Deep learning > Maschinelles Lernen > Computervision
BK-Notation
54.74 Maschinelles Sehen
DDC-Notation
006.3/7
ISBN
9781138544420