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OpenCV 3 lernen: Computer Vision in C++ mit der OpenCV-Bibliothek
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OpenCV 3 lernen: Computer Vision in C++ mit der OpenCV-Bibliothek
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OpenCV 3 lernen: Computer Vision in C++ mit der OpenCV-Bibliothek

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    Book Title
    Learning OpenCV 3: Computer Vision in C++ with the OpenCV Librar
    ISBN
    9781491937990
    Kategorie

    Über dieses Produkt

    Product Identifiers

    Publisher
    O'reilly Media, Incorporated
    ISBN-10
    1491937998
    ISBN-13
    9781491937990
    eBay Product ID (ePID)
    215935102

    Product Key Features

    Number of Pages
    1024 Pages
    Publication Name
    Learning Opencv 3 : Computer Vision in C++ with the Opencv Library
    Language
    English
    Publication Year
    2017
    Subject
    Programming Languages / C++, Programming Languages / C#, Programming Languages / C, Computer Vision & Pattern Recognition
    Type
    Textbook
    Author
    Adrian Kaehler, Gary Bradski
    Subject Area
    Computers
    Format
    Trade Paperback

    Dimensions

    Item Height
    2.3 in
    Item Weight
    60.5 Oz
    Item Length
    9.2 in
    Item Width
    7.1 in

    Additional Product Features

    Intended Audience
    Scholarly & Professional
    LCCN
    2016-439939
    Dewey Edition
    23
    Illustrated
    Yes
    Dewey Decimal
    006.37
    Synopsis
    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, 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 Number
    TA1634

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