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003			BD-DhAAL
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008			250318p20212016cc a b 001 0 eng d
010			_a 2016439939
020			_a9781491937990
020			_a1491937998
035			_a(OCoLC)ocn968936315
037			_bOreilly & Associates Inc, C/O Ingram Pub Services 1 Ingram Blvd, LA Vergne, TN, USA, 37086 _nSAN 631-8673
040			_aSXP _beng _cSXP _erda _dSXP _dJRZ _dOQX _dOCLCF _dYDX _dOCLCQ _dCLU _dUNBCA _dBDX _dOCL _dSFR _dDLC _dBD-DhAAL
042			_alccopycat
050	0	0	_aTA1634 _b.K34 2017
082	0	4	_a006.37
100	1		_aKaehler, Adrian, _eauthor. _957981
245	1	0	_aLearning OpenCV 3 : _bcomputer vision in C++ with the OpenCV library / _cAdrian Kaehler, Gary Bradski.
246	3	0	_aOpenCV
246	3	0	_aComputer vision in C++ with the OpenCV library
250			_aFirst edition.
260			_aBeijing ; _aBoston ; _aSebastopol, CA : _bO'Reilly Media, _c2016 [fourth released 2021].
300			_axxv, 994 pages : _billustrations ; _c24 cm
504			_aIncludes bibliographical references (pages 949-965) and index.
505	0		_a1. Overview -- 2. Introduction to OpenCV -- 3. Getting to know OpenCV data types -- 4. Images and Large Array Types -- 5. Array Operations -- 6. Drawing and Annotating -- 7. Functors in OpenCV -- 8. Image, Video, and Data Files -- 9. Cross-Platform and Native Windows -- 10. Filters and Convolution -- 11. General Image Transforms -- 12. Image Analysis -- 13. Histograms and Templates -- 14. Contours -- 15. Background Subtraction -- 16. Keypoints and Descriptors -- 17. Tracking -- 18. Camera Models and Calibration -- 19. Projection and Three-Dimensional Vision -- 20. The Basics of Machine Learning in OpenCV -- 21. StatModel: The Standard Model for Learning in OpenCV -- 22. Object Detection -- 23. Future of OpenCV -- A. Planar Subdivisions -- B. opencv_contrib -- C. Calibration Patterns.
520			_a"This book provides a working guide to the C++ Open Source Computer Vision Library (OpenCV) version 3.x and gives a general background on the field of computer vision sufficient to help readers use OpenCV effectively."--Preface.
520			_a"Get started in the rapidly expanding field of computer vision with this practical guide ... this book provides a thorough introduction for developers, academics, roboticists, and hobbyists. You'll learn what it takes to build applications that enable computers to "see" and make decisions based on that data. With over 500 functions that span many areas in vision, OpenCV is used for commercial applications such as security, medical imaging, pattern and face recognition, robotics, and factory product inspection. This book gives you a firm grounding in computer vision and OpenCV for building simple or sophisticated vision applications. Hands-on exercises in each chapter help you apply what you've learned. This volume covers the entire library, in its modern C++ implementation, including machine learning tools for computer vision. Learn OpenCV data types, array types, and array operations. Capture and store still and video images with HighGUI. Transform images to stretch, shrink, warp, remap, and repair. Explore pattern recognition, including face detection. Track objects and motion through the visual field. Reconstruct 3D images from stereo vision. Discover basic and advanced machine learning techniques in OpenCV."--Publisher's website.
526			_aCSE
650		0	_aComputer vision.
650		0	_aComputer vision _xComputer programs. _957982
650		0	_aC++ (Computer program language)
650		0	_aOpenCV (Computer program language) _957983
650		0	_aImage processing _xDigital techniques.
650		0	_aImage analysis. _942003
650		0	_aOpen source software.
650		0	_aComputer science.
700	1		_aBradski, Gary R., _eauthor. _957984
852			_aAyesha Abed Library _cGeneral Stacks
942			_2ddc _cBK
999			_c47221 _d47221