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Book Description
Software That Sees
Product Description
"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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Most Helpful Customer Reviews
2 of 2 people found the following review helpful
Format:Paperback|Amazon Verified Purchase
The book encourages early attempts at jumping in; however, this is a mistake as the early examples simply are not complete and they won't work.
However, persevere with the book and the OpenCV free library, and you will be richly rewarded.
You simply must make extensive use of the index to dig up the information necessary for completion of the first examples, and perseverence will leave you with a basic test structure into which you can plug the many image processing functions with minimal changes.
This is fun.
Frankly I haven't got the video working yet, and frankly I've been more interested in the static processing since my job needs this more.
I've got the libraries working on both Linux and XP, with splendid, visually impressive, results.
When I get more time I'll be working through to the advanced examples.
Meanwhile, I recommend recent versions of KDevelop-c/c++ if you are working on Linux; the Library dependencies are even easier than windows.
However, persevere with the book and the OpenCV free library, and you will be richly rewarded.
You simply must make extensive use of the index to dig up the information necessary for completion of the first examples, and perseverence will leave you with a basic test structure into which you can plug the many image processing functions with minimal changes.
This is fun.
Frankly I haven't got the video working yet, and frankly I've been more interested in the static processing since my job needs this more.
I've got the libraries working on both Linux and XP, with splendid, visually impressive, results.
When I get more time I'll be working through to the advanced examples.
Meanwhile, I recommend recent versions of KDevelop-c/c++ if you are working on Linux; the Library dependencies are even easier than windows.
1 of 1 people found the following review helpful
Format:Paperback
This is a great book, providing an excellent introduction in OpenCV. The balance between theory and practical examples is very well chosen. The book could serve equally newcomers and experienced readers. There are a few things that you might need looking up in some cases, but the important thing is, that with this book you can start using OpenCV efficiently easily and fast.
3 of 4 people found the following review helpful
Format:Paperback
I've purchased this book to learn OPenCV and gain understand theory behind computer vision techniques. The book is excellent introducing to the library and the concepts behind it. It is very well organized and written very professionally. You sure need to go out there sometimes and find more material on specific algorithms or concepts but the book does a good job giving you a startup.
What is bad about this book...
One bad star of the clarity of examples. However examples work, they lack proper code documentation and written in a bad C style. High level comment exist (sometimes) but you cannot follow up the code of 400 lines example unless you go for online documentation or spend hours trying to figure out what's hapenning. Methods parameters in the examples , command line argumernts, variables...etc are all not documented.
Another bad star for OpenCV. Good work by intel, but as far as I remember, C++ has been there for some decades now. It makes no sense to me to have all huge library entities and algorithms written in C. To construct an object (which are typically structures), they follow naming conventions like constructors do not exist. One more thing, some enums and defs completely lack documentation, and again you have to find examples for them which are sometimes hard to find.
What is bad about this book...
One bad star of the clarity of examples. However examples work, they lack proper code documentation and written in a bad C style. High level comment exist (sometimes) but you cannot follow up the code of 400 lines example unless you go for online documentation or spend hours trying to figure out what's hapenning. Methods parameters in the examples , command line argumernts, variables...etc are all not documented.
Another bad star for OpenCV. Good work by intel, but as far as I remember, C++ has been there for some decades now. It makes no sense to me to have all huge library entities and algorithms written in C. To construct an object (which are typically structures), they follow naming conventions like constructors do not exist. One more thing, some enums and defs completely lack documentation, and again you have to find examples for them which are sometimes hard to find.
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Most Recent Customer Reviews
OpenCV
This is the standard book covering the OpenCV library - Open Computer Vision.
A boon is it avoids getting too much into the maths, and has many practical, basic, coding... Read more
A boon is it avoids getting too much into the maths, and has many practical, basic, coding... Read more
Published on 12 Sep 2009 by John Montgomery
Good Book
It is a very good introduction on OpenCV book but it does not cover every library used in OpenCV. So, you still need a lot helps from Internet.
Published on 8 May 2009 by Mr. Z. Y. Woo
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