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"This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised." -William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Writ "This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised." -William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data. Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time. Learning OpenCV will teach any developer or hobbyist to use the framework quickly with the help of hands-on exercises in each chapter. This book includes: A thorough introduction to OpenCV Getting input from cameras Transforming images Segmenting images and shape matching Pattern recognition, including face detection Tracking and motion in 2 and 3 dimensions 3D reconstruction from stereo vision Machine learning algorithms Getting machines to see is a challenging but entertaining goal. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book you need to get started.


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"This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised." -William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Writ "This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised." -William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data. Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time. Learning OpenCV will teach any developer or hobbyist to use the framework quickly with the help of hands-on exercises in each chapter. This book includes: A thorough introduction to OpenCV Getting input from cameras Transforming images Segmenting images and shape matching Pattern recognition, including face detection Tracking and motion in 2 and 3 dimensions 3D reconstruction from stereo vision Machine learning algorithms Getting machines to see is a challenging but entertaining goal. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book you need to get started.

30 review for Learning OpenCV: Computer Vision with the OpenCV Library

  1. 4 out of 5

    Sunu Wibirama

    If you are a serious computer vision researcher, you should consider to read this book. I started to use OpenCV since its beta version, and now I am still using the latest version. OpenCV helps me a lot in building real-time application that requires fast computation. Five stars for OpenCV authors, thanks for sharing a useful software and book for the rest of us

  2. 4 out of 5

    Hary Mulyadi

    Complete material of what is OpenCV. The programming of computer vision. Theory, basis, implementation, and it's explanation. Including viewed from the physics science, it's describing it with a simple way but clear enough.

  3. 4 out of 5

    Ghassem Tofighi

    Good book, but there are a lot of important things which are skimmed. The book has few examples and is a little confusing for beginners.

  4. 5 out of 5

    Vô Danh

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  5. 5 out of 5

    James Schultz

    This is THE classic OpenCV compendium. However, a lot has changed with the OpenCV library and community, therefore the code now is a bit antiquated.

  6. 4 out of 5

    Victor

    the only problems is that it only introduces the C API, not the C++. Apart from that, good introduction.

  7. 5 out of 5

    Aleksandr Motsjonov

    Very good handbook for OpenCV library and good introduction in computer vision aspects.

  8. 5 out of 5

    Michał Maciejewski

    Quite tough to make through, but provides plenty of useful information in computer vision subject. From basics to advanced level.

  9. 5 out of 5

    Michael

    meh. Good reference. The title is very misleading. This book is not so great for the first time user to "learn" OpenCV.

  10. 5 out of 5

    Артём Багинский

    It was an ok introduction back when I read it, but new, matlab inspired, C++ API of OpenCV 2.0 weren't around back then, so the code samples are to a great extent outdated.

  11. 5 out of 5

    Wooi Hen Yap

    A definitive guidebook for OpenCV users. Straight to the working computer vision application rather than formal explanation. One word.. good.

  12. 5 out of 5

    Aydın Arpa

  13. 4 out of 5

    Stephan

  14. 4 out of 5

    Jonathan Millman

  15. 4 out of 5

    Yes

  16. 5 out of 5

    Richard E. Geier Jr

  17. 4 out of 5

    Adam

  18. 5 out of 5

    Francis Williams

  19. 5 out of 5

    Evgheny Maslennikov

  20. 4 out of 5

    Pablo Morales

  21. 4 out of 5

    Patrick

  22. 4 out of 5

    Levi Baber

    Like most O'Reilly books, I found this one good and it made the topic approachable.

  23. 4 out of 5

    Hao Deng

  24. 5 out of 5

    Paul Buxton

  25. 4 out of 5

    Yassine

  26. 5 out of 5

    Yehoshua Meyer

  27. 4 out of 5

    Daniel Weaver

  28. 5 out of 5

    Harold Timmis

  29. 5 out of 5

    Michal

  30. 4 out of 5

    Subhajit Das

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