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Most helpful customer reviews
3.0 out of 5 stars
A good book about image processing...,
This review is from: Opencv 2 Computer Vision Application Programming Cookbook (Paperback)
... but it's not true to say that it's a good book to master the library: there is absolutely nothing about actual computer vision, no description of the OpenCV's machine learning algorithms, tracking (optical flow, motion templates, condensation, kalman...), nothing either about camera calibration (!)...It's good for image processing though, and the beginning about the installation of the library and how you can set up your environment wether you're using Visual Studion or Qt is very, very useful. I'd say that it's a good complement to the O'Reilly's Learning OpenCV, but alone this is just incomplete.
5.0 out of 5 stars
An updated reference for OpenCV,
This review is from: Opencv 2 Computer Vision Application Programming Cookbook (Paperback)
This brand new OpenCV book, from Robert Laganière, is just amazing. It seems to be the best update to Bradsky and Kaehler's well known "Learning OpenCV", as it focus on OpenCV 2.0.For someone looking for an updated reference in OpenCV, one will find lots of the new C++ API coverage, as well as a nice chapter 8 covering "Detecting and Matching Interest Points", including FAST, SIFT, and SURF features, which are a must for such a fully featured library as OpenCV. Besides the attention paid to new topics, there's a good setup explanation for Qt and Visual Studio. All topics are covered in a straight to the point methodology which makes of it an easy guide to consult for several topics of OpenCV. The only drawback of the book would be not even mentioning OpenCV's Python API, which is great for prototyping. All in all, this is a great book and it came to fulfill the needs of an OpenCV 2.0 reference the computer vision community was looking for.
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Most Helpful Customer Reviews on Amazon.com (beta) Amazon.com:
3.8 out of 5 stars (12 customer reviews) 12 of 13 people found the following review helpful
1.0 out of 5 stars
Completely Outdated 2.0 is so different than 2.3 (a 2nd edition is needed untile then better try your luck on Internet),
By L. Vignals - Published on Amazon.com
Amazon Verified Purchase(What's this?)
This review is from: Opencv 2 Computer Vision Application Programming Cookbook (Paperback)
The topic is exciting but the book is so obsolete that even seasoned developers will have to jump though lots of hoops and constantly refer back to the online api doc to track all the changes in order to get anything out of this book. For the less experienced SW developpers honestly save your money and scan the web for tutorials and samples made with the 2.3 version of OpenCV otherwise chances are high you will buy the book bang your head on walls for a while and give up OpenCV for a few years. Given the extent of the API organization and changes between 2.0 and 2.3 I feel the Author somewhat cheated in the title of the book and should really have used OpenCV 2.0 instead of just OpenCV 2 as this is extremely missleading especially since the book was published in 2011... It's not like this book was up to date when published and things have evolved but more like this book was obsolete before it was even printed for the first time. I prefer to write positive reviews that encourage authors but the gap here is just too big...
4 of 4 people found the following review helpful
2.0 out of 5 stars
I would stick with the website documentation,
By Sharat Chikkerur - Published on Amazon.com
Amazon Verified Purchase(What's this?)
This review is from: Opencv 2 Computer Vision Application Programming Cookbook (Paperback)
OpenCV has had several drastic refactoring making "learning opencv" obsolete. I picked up this book hoping it would be a better guide for the new version. However, I find it very sparse on actual openCV details and more focussed on software engineering. I appreciate the advice of using controllers and strategy patterns. I would find the fact that including opencv.hpp instead of cv.h in the new version even more useful. I think in this particular instance following the documentation on the website more useful because it is more information and keeps pace with the frequent changes being made to opencv.
5 of 6 people found the following review helpful
3.0 out of 5 stars
Only for people that have committed to use opencv2 that need c,
By Patrick Faith - Published on Amazon.com
Amazon Verified Purchase(What's this?)
I'm not sure were to start ... this would be ok as a beginners books from a instruction viewpoint and people that really wanted to use opencv2. I think he explained opencv2 clearly ... but from a "machine vision" viewpoint the temporal aspect is very important ... and that was at the end of the book(i.e. he is mainly using static images and not comparing images sensors in time ... in almost all his examples). From a actual library perspective ... this is a bunch of easy matrix routines, not network mesh based, so the library is more old school image processing(i.e. the title of saying computer vision ... is missleading ... since this has very little to do with modern vision algorithms). It's terribly out of date from a viewpoint on where the state of the art is for vision processing ... (like 20 years) ... maybe that's in part of the library not included in the book. Using python/numpy/pil/etc.. is way easier to teach vision theory ... so I'm not sure who this book is for.
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