9781491937990-1491937998-Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library

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

3.5
ISBN-13: 9781491937990
ISBN-10: 1491937998
Edition: 1
Author: Adrian Kaehler, Gary Bradski
Publication date: 2017
Publisher: O'Reilly Media
Format: Paperback 1024 pages
Category: Computers
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Book details

ISBN-13: 9781491937990
ISBN-10: 1491937998
Edition: 1
Author: Adrian Kaehler, Gary Bradski
Publication date: 2017
Publisher: O'Reilly Media
Format: Paperback 1024 pages
Category: Computers

Summary

Acknowledged authors Adrian Kaehler , Gary Bradski wrote Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library comprising 1024 pages back in 2017. Textbook and eTextbook are published under ISBN 1491937998 and 9781491937990. Since then Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library textbook received total rating of 3.5 stars and was available to sell back to BooksRun online for the top buyback price of $ 31.45 or rent at the marketplace.

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.

  • 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
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