Learning OpenCV: Computer Vision with the OpenCV Library,   ISBN:9780596516130

Customer Rating: 

Although I'm new to OpenCV and am only a few chapters into the book I already can tell that Using OpenCV is very well written and makes a fantastic source of information for the OpenCV project. Details are given as well as sample code that clearly explain the nuances of using this library. The authors make it clear that they intend this text to be used to teach/learn about using OpenCV and do a great job of covering the basics before moving on to more advanced topics.

Be aware you will need to be knowledgeable about the C language and need a decent math background. The former because OpenCV is written in C and the later because computer vision processing is math intensive and while OpenCV has man routines to handle the details you still need an understanding of the basic math involve to properly utilize them.

Customer Rating: 

This book reflects essentially what are in the several web sites, including OpenCv documentation. If you want a hardcopy of online documentation (as I wanted), then that's a nice option. However, don't expect be surprised by the contents of the book.

Customer Rating: 

This book provides more background and context than found on the source library doc files. If, like me, you are new to computer vision, I'd strongly recommend giving it a read before starting to use the library. It starts with some of the basic concepts and the dives into the various key algorithms implemented in the library.

Customer Rating: 

The book contains a quite complete description of OpenCV library. In addition to code examples a reader can find in many cases valuable mathematical background. The 3d Vision and Camera Calibration parts are especially interesting. The book material is very useful for practical software engineering goals as well as for algorithms research. Both beginners and professionals can consider this book as an excellent reference for the work.

Customer Rating: 

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