Learning OpenCV 3
Computer Vision in C++ with the OpenCV Library
Publisher: O'Reilly Media
Final Release Date: December 2016
Pages: 1024

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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oreillyLearning OpenCV 3
 
3.6

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(3 of 3 customers found this review helpful)

 
1.0

Where is the Source code?

By Dipu

from Germany

About Me Developer

Pros

  • Easy to understand

Cons

  • Too many errors

Best Uses

  • Intermediate

Comments about oreilly Learning OpenCV 3:

Where is the Source code?

(3 of 3 customers found this review helpful)

 
4.0

Source code is still missing!

By Karl

from Germany

Verified Reviewer

Comments about oreilly Learning OpenCV 3:

Source code is still missing on the website!!

(0 of 1 customers found this review helpful)

 
5.0

Best OpenCV 3 book

By Alexei Kondratiev

from San Mateo, CA

About Me Developer

Verified Buyer

Pros

  • Accurate
  • Concise
  • Easy to understand
  • Helpful examples
  • Well-written

Cons

    Best Uses

    • Expert
    • Intermediate
    • Novice
    • Student

    Comments about oreilly Learning OpenCV 3:

    This is the Best OpenCV 3 book: practical implementation of the best CV book "Digital Image Processing (3rd Edition) by Rafael C. Gonzalez (Author), Richard E. Woods". Must Have if you are working with CV.

    (10 of 10 customers found this review helpful)

     
    4.0

    SOurcecode missing

    By hao

    from China

    Comments about oreilly Learning OpenCV 3:

    The Source code samples of the book are missing.

    (3 of 7 customers found this review helpful)

     
    4.0

    Very good

    By mimmo

    from italy

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    Comments about oreilly Learning OpenCV 3:

    I use it for my profession

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