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Learning OpenCV: Computer Vision with the OpenCV Library |  | Authors: Gary Bradski, Adrian Kaehler
Publisher: O'Reilly Media
Category: Book
List Price: $49.99
Buy New: $36.14
as of 9/7/2010 04:04 PDT details
You Save: $13.85 (28%)
New (31) Used (15) from $32.75
Seller: Speedy Hen
Rating:  22 reviews
Sales Rank: 21509
Media: Paperback
Edition: 1st
Pages: 555
Number Of Items: 1
Shipping Weight (lbs): 1.7
Dimensions (in): 10.4 x 8 x 1.4
ISBN: 0596516134
Dewey Decimal Number: 006.37
EAN: 9780596516130
ASIN: 0596516134
Publication Date: September 24, 2008
Availability: Usually ships in 1-2 business days
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| • | ISBN13: 9780596516130 | | • | Condition: New | | • | Notes: BUY WITH CONFIDENCE, Over one million books sold! 98% Positive feedback. Compare our books, prices and service to the competition. 100% Satisfaction Guaranteed |
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| Editorial Reviews:
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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| Customer Reviews:
Showing reviews 1-5 of 22
 A great guide to OpenCV with plenty of context October 30, 2008
calvinnme
28 out of 28 found this review helpful
This book is excellent at exposing the reader to the various methods available in OpenCV and showing via code examples how to use each one. The author also gives you the website where you can look at the actual source code of each method shown. This is helpful since, for example, if you want to know exactly how the code is going about calculating the Fundamental Matrix, it is difficult to determine this by reading the book alone.
This book would be most useful to someone who already has a fundamental understanding of computer vision and image processing and wants to see how OpenCV will make their programming tasks easier. It does this by coding up well known algorithms into reliable pieces of code that you can use to accomplish more complex tasks. Do not come to this book if you are seeking to learn computer vision. You will only be confused as the author does not offer enough detail to teach you the mathematical foundations. However, I don't think that was his intention at all. Instead it is part user manual, part basic computer vision tutorial and overview, and part idea book. Each chapter is supplemented with excellent and interesting programming exercises that test your knowledge of what has been presented in a practical setting.
For a good basic understanding of computer vision try Computer Vision. To understand the algorithmic underpinnings of 3D computer vision try Introductory Techniques for 3-D Computer Vision. However, before you read either of these you must read Digital Image Processing (3rd Edition), since image processing concepts are fundamental to understanding computer vision tasks. In fact, the two disciplines overlap in many spots. The sad truth of the matter is that no one book will teach you what you need to know to be an effective image scientist. However, this book on OpenCV is essential reading on applying the theory via programming in an effective manner. Highly recommended.
An absolute must have!!! October 21, 2008
Jean-Yves Bouguet
5 out of 5 found this review helpful
At last a practical, pragmatic, accessible book on computer vision (and more!) providing step by step guidance on fundamental computational vision topics, with algorithmic explanation (just what is needed!), and concrete example code snippets. This book is now opening the door to the fabulous world of computational vision to anyone. It gives immediate access to a vast collection of image processing, and machine learning functions, all open source!
The book also includes many references and pointers to other material (such as technical papers), allowing the reader to learn more about any topic covered.
This is a great reference book, that won't just sit on your self.
Awesome - wish I had this years ago November 19, 2008
Eric Hegstrom (Tucson, AZ USA)
4 out of 4 found this review helpful
After years of plodding through the discussion group and limited HTML based docs and puzzling out how to make OpenCV work finally a tell-all book that makes this worlds class tool accessible to all!
This book is GREAT !!! November 12, 2008
Steven Lehar (Boston MA USA)
3 out of 3 found this review helpful
Very well written, excellent introduction, beautiful clear figures and illustrations, excellent balance between text, equations, figures, and source code, just the right level of intuitive v.s. technical v.s. mathematical explanation, great explanations of complex algorithmic concepts, with just the right touch of humor here and there to brighten up the dry technical talk, and apparently, a very clear and useful and well designed computer vision software package in that OpenCV, which the author also wrote, with the wonderful advantage that the software is totally free and open source!
Great way to get started November 5, 2008
R. Gilliland
2 out of 2 found this review helpful
Covers the details quickly so that you can get started coding and covers the right way to access data so that you can maintain the speed necessary for computer vision applications. I've found this book to be really helpful in getting started with OpenCV as well as digging into some of the finer details of some of it's machine learning capabilities.
Showing reviews 1-5 of 22
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