000			02518nam a2200301 4500
999			_c8356 _d8356
001			21865
003			BD-DhUAP
005			20230810153815.0
008			191212s2020 flua b 001 0 eng
020			_a9781138544420 _q(hardback ; _qacid-free paper)
020			_z9781351003827 _q(ebook) _a9781032242859
040			_aDLC _bEng _eBD-DhUAP _cBD-DhUAP _dBD-DhUAP
082	0	0	_a006.3 DEE _223
245	0	0	_aDeep learning in computer vision : _bprinciples and applications / _cedited by M. Hassaballah and Ali Ismail Awad.
250			_aFirst edition.
264		1	_aBoca Raton : _bCRC Press/Taylor and Francis, _c[2020]
300			_axvi, 322 pages : _billustrations ; _c24 cm.
490	0		_aDigital imaging and computer vision
504			_aIncludes 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"-- _cProvided by publisher.
650		0	_aComputer vision.
650		0	_aMachine learning.
650		0	_aDeep learning (Machine learning)
700	1		_aHassaballah, Mahmoud, _eeditor.
700	1		_aAwad, Ali Ismail, _eeditor.
776	0	8	_iOnline version: _tDeep learning in computer vision _bFirst edition. _dBoca Raton, FL : CRC Press/Taylor and Francis, 2020.
942			_2ddc _cBK