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Learning OpenCV: Computer Vision with the OpenCV Library 1st Edition

4.1 out of 5 stars 48 customer reviews
ISBN-13: 978-0596516130
ISBN-10: 0596516134
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Editorial Reviews

Book Description

Software That Sees

About the Author

Dr. Gary Rost Bradski is a consulting professor in the CS department at Stanford University AI Lab where he mentors robotics, machine learning and computer vision research. He is also Senior Scientist at Willow Garage http://www.willowgarage.com, a recently founded robotics research institute/incubator. He has a BS degree in EECS from U.C. Berkeley and a PhD from Boston University. He has 20 years of industrial experience applying machine learning and computer vision spanning option trading operations at First Union National Bank, to computer vision at Intel Research to machine learning in Intel Manufacturing and several startup companies in between. Gary started the Open Source Computer Vision Library (OpenCV http://sourceforge.net/projects/​opencvlibrary/ ), the statistical Machine Learning Library (MLL comes with OpenCV), and the Probabilistic Network Library (PNL). OpenCV is used around the world in research, government and commercially. The vision libraries helped develop a notable part of the commercial Intel performance primitives library (IPP http://tinyurl.com/36ua5s). Gary also organized the vision team for Stanley, the Stanford robot that won the DARPA Grand Challenge autonomous race across the desert for a $2M team prize and helped found the Stanford AI Robotics project at Stanford http://www.cs.stanford.edu/group/stair/ working with Professor Andrew Ng. Gary has over 50 publications and 13 issued patents with 18 pending. He lives in Palo Alto with his wife and 3 daughters and bikes road or mountains as much as he can.

Dr. Adrian Kaehler is a senior scientist at Applied Minds Corporation. His current research includes topics in machine learning, statistical modeling, computer vision and robotics. Adrian received his Ph.D. in Theoretical Physics from Columbia university in 1998. Adrian has since held positions at Intel Corporation and the Stanford University AI Lab, and was a member of the winning Stanley race team in the DARPA Grand Challenge. He has a variety of published papers and patents in physics, electrical engineering, computer science, and robotics.

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Product Details

  • Paperback: 555 pages
  • Publisher: O'Reilly Media; 1st edition (October 4, 2008)
  • Language: English
  • ISBN-10: 0596516134
  • ISBN-13: 978-0596516130
  • Product Dimensions: 7 x 1.2 x 9.2 inches
  • Shipping Weight: 1.7 pounds (View shipping rates and policies)
  • Average Customer Review: 4.1 out of 5 stars  See all reviews (48 customer reviews)
  • Amazon Best Sellers Rank: #228,741 in Books (See Top 100 in Books)

Customer Reviews

Top Customer Reviews

By calvinnme HALL OF FAMEVINE VOICE on October 30, 2008
Format: Paperback Verified Purchase
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.
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Format: Paperback Verified Purchase
I really love OpenCV. I bought this book and read about 50% of it before starting a project. Initially I found some code on the internet that looked like OpenCV code but was lacking pointers and casts. I learned that this clean code is actually C++ code with heavy use of templates in OpenCV 2.0. Sadly the book is based on OpenCV 1.0, so very little of the code in the book is useable.
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Format: Paperback
This is a great book on the library. Although it's rather old and lacks the new C++ API (which, to me, is very similar to the MATLAB image processing toolkit), it provides a rather detailed explanation on the inner workings of the library as well as the math and research papers that backs it up.

If you are just a CV hobbyist, and just want to create some computer vision app with a webcam and don't care about the math, there's tons of resource online on how to use the library effectively.

I give the book four stars instead of five because I wish it would give more programming examples that it does. And sometimes the language is a little hard to understand, I'd usually have to read it several times to grasp the concepts in the book.
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Format: Paperback
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.
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Format: Paperback
The OpenCV library is great and it is nice that somebody put together a book to document it, because the documentation on the opencv wiki is as good as it could be and not well organized. The shortcoming of this book is the extreme verbosity. It is almost excruciating to read because you cannot just skip to the important points because many important points are buried enormous paragraphs that are mostly fluff. The two stars that I give it are entirely for my appreciation of the subject matter.
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Format: Kindle Edition Verified Purchase
Despite all the evolution that OpenCV has gone through these last five years, and all the available on-line documentation and newer books that have been published, this is still the most useful and helpful guide. No other book covers the breadth and depth of OpenCV like this one does.

The writing style is a bit too casual sometimes. I have been a tiny bit annoyed by the authors' breezy treatment of some important details that I'm struggling with. Nevertheless, there just isn't a better alternative, or anything even close. I guess I should be grateful that the alternative isn't the case: excessive, impenetrable formality!

Again, this is still the best OpenCV reference available right now.

About a year ago Amazon listed the second edition of this book for pre-order. Months went by, and they eventually canceled it. What's up with that?
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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!
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