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Learning OpenCV 3: Computer Vision in C++ With the OpenCV Library

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Practical guide to mastering computer vision with OpenCV.

If you're diving into computer vision or looking to refine your skills, this book will be your guide through the complexities of the OpenCV library. With its hands-on approach, it will not only provide you with a foundational understanding but also equip you to build cutting-edge vision applications. Whether you're a student, developer, or hobbyist, each chapter will advance your expertise in this quickly evolving field, bridging the gap between theory and practice.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.
Sale

Learning OpenCV 3: Computer Vision in C++ With the OpenCV Library

Regular price RM130.00 MYR Now RM104.00 MYR Save 20%
Unit price
per
Compare to estimated retail price: RM348.00 MYR  
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ISBN: 9781491937990
Publisher: O'Reilly Media
Date of Publication: 2017-02-07
Format: Paperback
Related Collections: Science
Related Topics: Computers
Goodreads rating: 4.13
(rated by 24 readers)

Description

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.
 

Practical guide to mastering computer vision with OpenCV.

If you're diving into computer vision or looking to refine your skills, this book will be your guide through the complexities of the OpenCV library. With its hands-on approach, it will not only provide you with a foundational understanding but also equip you to build cutting-edge vision applications. Whether you're a student, developer, or hobbyist, each chapter will advance your expertise in this quickly evolving field, bridging the gap between theory and practice.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.