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010 _a 2016439939
020 _a9780596516130
_qpaperback
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
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042 _alccopycat
082 0 0 _a006.37
_223
_bGAR
100 1 _aBradski, Gary R.
_eauthor.
_973
245 1 0 _aLearning OpenCV :
_bcomputer vision with the OpenCV library /
_cGary Bradski and Adrian Kaehler.
250 _aFirst Edition.
264 1 _aSebastopol, CA :
_bO'Reilly Media,
_c[2017].
264 4 _c©2017.
300 _axxv, 555 pages :
_billustrations ;
_c20 cm.
336 _atext
_btxt
_2rdacontent
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
504 _aIncludes bibliographical references 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.
650 0 _aComputer vision.
_93117
650 0 _aC++ (Computer program language)
_92249
700 1 _aKaehler, Adrian
_eauthor.
_970
906 _a7
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999 _c474
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