000			03884cam a2200361 i 4500
001			18074229
003			5103
005			20160530161859.0
008			140320s2014 enka b 001 0 eng
010			_a 2014001740
020			_a9780596516130 (paperback)
040			_aDLC _beng _cDLC _erda _dDLC
042			_apcc
050	0	0	_aTA 1634 .B396 2008
082	0	0	_a006.3/7 _223
084			_aCOM016000 _2bisacsh
245	1	2	_aLearning OpenCV : _cGary Bradski & Adrian Kaehler. _bComputer Vision with the OpenCV Library
264		1	_aUsa ; _aO'Reilly : _c2008.
300			_axvii, 555 pages : _c25 cm
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
504			_aIncludes bibliographical references and index.
520			_a"Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV librariesComputer Vision is a rapidly expanding area and it is becoming progressively easier for developers to make use of this field due to the ready availability of high quality libraries (such as OpenCV 2). This text is intended to facilitate the practical use of computer vision with the goal being to bridge the gap between the theory and the practical implementation of computer vision. The book will explain how to use the relevant OpenCV library routines and will be accompanied by a full working program including the code snippets from the text. This textbook is a heavily illustrated, practical introduction to an exciting field, the applications of which are becoming almost ubiquitous. We are now surrounded by cameras, for example cameras on computers & tablets/ cameras built into our mobile phones/ cameras in games consoles; cameras imaging difficult modalities (such as ultrasound, X-ray, MRI) in hospitals, and surveillance cameras. This book is concerned with helping the next generation of computer developers to make use of all these images in order to develop systems which are more intuitive and interact with us in more intelligent ways. Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries Offers an introduction to computer vision, with enough theory to make clear how the various algorithms work but with an emphasis on practical programming issues Provides enough material for a one semester course in computer vision at senior undergraduate and Masters levels Includes the basics of cameras and images and image processing to remove noise, before moving on to topics such as image histogramming; binary imaging; video processing to detect and model moving objects; geometric operations & camera models; edge detection; features detection; recognition in images Contains a large number of vision application problems to provide students with the opportunity to solve real problems. Images or videos for these problems are provided in the resources associated with this book which include an enhanced eBook "-- _cProvided by publisher.
520			_a"Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries"-- _cProvided by publisher.
650		0	_aComputer vision.
650		0	_aComputer vision _xComputer programs.
650		7	_aCOMPUTERS / Computer Vision & Pattern Recognition. _2bisacsh
776	0	8	_iOnline version: _aDawson-Howe, Kenneth. _tPractical introduction to computer vision with OpenCV _dChichester, West Sussex, United Kingdon ; Hoboken, N.J. : John Wiley & Sons., Inc., 2014 _z9781118848739 _w(DLC) 2014011499
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBK
955			_brk09 2014-03-20 _irk09 2014-03-20 ONIX _axn02 2015-05-08 1 copy rec'd., to CIP ver.
999			_c6911 _d6911