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Learning OpenCV 3 : Computer Vision in C++ with the OpenCV Library by Adrian Kaehler and Gary Bradski (2017, Trade Paperback)
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Learning OpenCV 3 : Computer Vision in C++ With the OpenCV Library, Paperback by Kaehler, Adrian; Bradski, Gary, ISBN 1491937998, ISBN-13 9781491937990, Brand New, Free shipping in the US Get started in the rapidly expanding field of computer vision with this practical guide. Written by Adrian Kaehler and Gary Bradski, creator of the open source OpenCV library, 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. This book gives you a firm grounding in computer vision and OpenCV for building simple or sophisticated vision applications.
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About this product
Product Identifiers
PublisherO'reilly Media, Incorporated
ISBN-101491937998
ISBN-139781491937990
eBay Product ID (ePID)215935102
Product Key Features
Number of Pages1024 Pages
LanguageEnglish
Publication NameLearning Opencv 3 : Computer Vision in C++ with the Opencv Library
Publication Year2017
SubjectProgramming Languages / C++, Programming Languages / C#, Programming Languages / C, Computer Vision & Pattern Recognition
TypeTextbook
Subject AreaComputers
AuthorAdrian Kaehler, Gary Bradski
FormatTrade Paperback
Dimensions
Item Height2.2 in
Item Weight61.9 Oz
Item Length9.2 in
Item Width7 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2016-439939
Dewey Edition23
IllustratedYes
Dewey Decimal006.37
SynopsisGet started in the rapidly expanding field of computer vision with this practical guide. Written by Adrian Kaehler and Gary Bradski, creator of the open source OpenCV library, 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, Get started in the rapidly expanding field of computer vision with this practical guide. Written by Adrian Kaehler and Gary Bradski, creator of the open source OpenCV library, 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
LC Classification NumberTA1634
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