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Learning OpenCV: Computer Vision with the OpenCV Library
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 on building computer vision applications of your own.
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 on building computer vision applications of your own.
580 pages, Kindle Edition
First published September 15, 2008
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Displaying 1 - 13 of 13 reviews
May 27, 2013
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
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
April 3, 2012
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.
May 5, 2011
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.
February 4, 2021
This is a very easy to understand book on computer vision which uses the OpenCV library to develop computer vision and learning applications
September 14, 2009
meh. Good reference. The title is very misleading. This book is not so great for the first time user to "learn" OpenCV.
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July 31, 2011A definitive guidebook for OpenCV users. Straight to the working computer vision application rather than formal explanation. One word.. good.
October 12, 2011
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.
January 4, 2012
Very good handbook for OpenCV library and good introduction in computer vision aspects.
December 12, 2012
Quite tough to make through, but provides plenty of useful information in computer vision subject. From basics to advanced level.
November 21, 2013
the only problems is that it only introduces the C API, not the C++. Apart from that, good introduction.
March 24, 2016
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.
October 15, 2013
Excelent!!!!
January 17, 2016
Like most O'Reilly books, I found this one good and it made the topic approachable.
Displaying 1 - 13 of 13 reviews