07784nam a22006017i 4500 44229 BD-DhAAL 20250505152107.0 250318p20212016cc a b 001 0 eng d 2016439939 9781491937990 1491937998 (OCoLC)ocn968936315 Oreilly & Associates Inc, C/O Ingram Pub Services 1 Ingram Blvd, LA Vergne, TN, USA, 37086 SAN 631-8673 SXP eng SXP rda SXP JRZ OQX OCLCF YDX OCLCQ CLU UNBCA BDX OCL SFR DLC BD-DhAAL lccopycat TA1634 .K34 2017 006.37 Kaehler, Adrian, author. 57981 Learning OpenCV 3 : computer vision in C++ with the OpenCV library / Adrian Kaehler, Gary Bradski. OpenCV Computer vision in C++ with the OpenCV library First edition. Beijing ; Boston ; Sebastopol, CA : O'Reilly Media, 2016 [fourth released 2021]. xxv, 994 pages : illustrations ; 24 cm Includes bibliographical references (pages 949-965) and index. 1. 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. "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. "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. CSE Dr. Md. Ashraful Alam, Associate Professor Department of Computer Science Course Name and No. : Computer Vision : Fundamentals and Applications 7XX : Advanced Computer Vision (CSE 463) Karim International 44229, 44230, 44231, 44232, 44233, 44234, 44235, 44236, 44237, 44435 Computer vision. Computer vision Computer programs. 57982 C++ (Computer program language) OpenCV (Computer program language) 57983 Image processing Digital techniques. Image analysis. 42003 Open source software. Computer science. Bradski, Gary R., author. 57984 Ayesha Abed Library General Stacks ddc BK 47221 47221 0 0 ddc 0 006_370000000000000_KAE 0 77477 BRACUL BRACUL GEN 2025-03-18 Karim International 8640.00 0 006.37 KAE 3010044235 2025-03-18 7 8640.00 2025-03-18 BK Requisitioned by Dr. Md. 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