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Learning OpenCV: Computer Vision with the OpenCV Library

Learning OpenCV: Computer Vision with the OpenCV Library
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Additional Learning OpenCV: Computer Vision with the OpenCV Library Information

Learning 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.

 

What Customers Say About Learning OpenCV: Computer Vision with the OpenCV Library:

This book definitely fits the purpose of being a practical guide to computer vision. 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. 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.

A good book, but not easy for beginners. I recommend it to anyone who wants to have an introduction to OpenCv, without having to go through intensive search in the web. 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.

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. But reading this book, within couple of days I understood the library well enough to do very advanced biometrics research coding using OpenCV.

I would recommend this book as a compulsory and supplementary book to every computer vision course. Full marks to the authors for writing an excellent book.

This is a long awaited and outstanding book on OpenCV by Dr.Gary Bradski. I am not a computer Science undergrad so did not have much coding experience few months ago.

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) Very lucid to read, the key concepts of opencv library are explained in great detail initially in the text book.

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.

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. You will find yourself anxious to try all the examples and read more. 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.

There are also nice examples in the book that you can apply to your vision based problems. It is really a nice book. Good book. It would be better if this book was hardcover but this is also ok. It covers almost all OpenCV library routines. It also explain the algorithms and techniques individually.

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