| Overview
"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.
Editorial ReviewsProduct DescriptionLearning OpenCV puts you right in the middle of the rapidly expanding field of computer vision. Written by the creators of OpenCV, the widely used free open-source 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 the data. Computer vision is everywhere -- in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It helps robot cars drive by themselves, stitches Google maps and Google Earth together, checks the pixels on your laptop's LCD screen, and makes sure the stitches in your shirt are OK. OpenCV provides an easy-to-use computer vision infrastructure along with a comprehensive library containing more than 500 functions that can run vision code in real time. With Learning OpenCV, any developer or hobbyist can get up and running with the framework quickly, whether it's to build simple or sophisticated vision applications. The book includes: A thorough introduction to OpenCV Getting input from cameras Transforming images Shape matching Pattern recognition, including face detection Segmenting images Tracking and motion in 2 and 3 dimensions Machine learning algorithms Hands-on exercises at the end of each chapter help you absorb the concepts, and an appendix explains how to set up an OpenCV project in Visual Studio. OpenCV is written in performance optimized C/C++ code, runs on Windows, Linux, and Mac OS X, and is free for commercial and research use under a BSD license. Getting machines to see is a challenging but entertaining goal. If you're intrigued by the possibilities, Learning OpenCV gets you started onbuilding computer vision applications of your own. |
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Reader Reviews From Amazon (Ranked by 'Helpfulness') Average Customer Rating: based on 12 reviews. Good book for practical Computer Vision, 2009-06-13 Reviewer rating: I'm a grad student in robotics and I found this book to be extremely practical for implementation of computer vision work. The only downside is that some of the work is not spelled out in as much detail as I would like. For example, some of the algorithms are easy to understand conceptually, but if I had to implement them, I would struggle a bit to do it from the details provided in the book. This book definitely fits the purpose of being a practical guide to computer vision. | OpenCv Documentation and more, 2009-04-27 Reviewer rating: I bought the OpenCv documentation for a class I am TAing, and I must say I was pleasantly surprise. I was expecting more of a printed version of the OpenCv documentation, but happily I realised that this book contains more examples, and is pretty well structured. I recommend it to anyone who wants to have an introduction to OpenCv, without having to go through intensive search in the web. A good book, but not easy for beginners. | Great OpenCV Book, 2009-03-01 Reviewer rating: This is a long awaited and outstanding book on OpenCV by Dr.Gary Bradski. Very lucid to read, the key concepts of opencv library are explained in great detail initially in the text book. Given OpenCV library is widely used in industry for computer vision application, following this book well should fetch an undergraduate a job or internship he desires. With tons of functions in OpenCV and detailed explaination in the book about these functions, coding in OpenCV becomes as easy as coding in MATLAB.
I am not a computer Science undergrad so did not have much coding experience few months ago. But reading this book, within couple of days I understood the library well enough to do very advanced biometrics research coding using OpenCV. Full marks to the authors for writing an excellent book. I would recommend this book as a compulsory and supplementary book to every computer vision course. It helps students not only understand the concepts of Vision well but also makes them industry ready (as opposed to using only MATLAB in computer vision classes) | Excellent reference to OpenCV, 2009-02-13 Reviewer rating: The OpenCV book is an excellent reference to one of the best computer vision and machine learning libraries. The book is very well written, with very nice examples and explanations. You will find yourself anxious to try all the examples and read more ..... if you have been planning to start using OpenCV for some years but you haven't done it, buy this book now, and you will be familiar with most of the functions in OpenCV in just few days. | Good source to learn OpenCV, 2009-01-20 Reviewer rating: It is really a nice book. It covers almost all OpenCV library routines. It also explain the algorithms and techniques individually. There are also nice examples in the book that you can apply to your vision based problems. It would be better if this book was hardcover but this is also ok. Good book. |
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