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OpenCV 2 Computer Vision Application Programming Cookbook [Anglais] [Broché]

Robert Laganiere

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Description de l'ouvrage

23 mai 2011
This is a cookbook that shows results obtained on real images with detailed explanations and the relevant screenshots. The recipes contain code accompanied with suitable explanations that will facilitate your learning. If you are a novice C++ programmer who wants to learn how to use the OpenCV library to build computer vision applications, then this cookbook is appropriate for you. It is also suitable for professional software developers wishing to be introduced to the concepts of computer vision programming. It can be used as a companion book in university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision. The book provides a good combination of basic to advanced recipes. Basic knowledge of C++ is required.

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Couverture | Copyright | Table des matières | Extrait | Index | Quatrième de couverture
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Amazon.com: 4.1 étoiles sur 5  19 commentaires
11 internautes sur 12 ont trouvé ce commentaire utile 
2.0 étoiles sur 5 I would stick with the website documentation 5 octobre 2011
Par Sharat Chikkerur - Publié sur Amazon.com
Format:Broché|Achat vérifié
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.
7 internautes sur 8 ont trouvé ce commentaire utile 
3.0 étoiles sur 5 Only for people that have committed to use opencv2 that need c 18 août 2011
Par Patrick Faith - Publié sur Amazon.com
Format:Format Kindle|Achat vérifié
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.
8 internautes sur 10 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 review: A pretty decent book on OpenCV 19 juin 2011
Par rahul - Publié sur Amazon.com
Format:Broché
This book is for those who are interested in learning Image Processing/Computer Vision programming in C++.

The thing that differentiates this book from the original book written by Researchers at Willow Garage (maintainer of OpenCV) is that this book mainly concentrates on the programming paradigm in C++.

The book "OpenCV 2 Computer Vision Application Programming Cookbook" is for those who want to get started quickly on programming with OpenCV. All the syntax is in C++ and thats a positive point as most of the programming in Industry is done using C++.

This book shows how to extensively use C++ for simple/common tasks required for daily tasks in Computer Vision/Image Processing.

There are sections on "Scanning an image with iterators", "Filtering Images with low pass filters", Segmentation of the image, Fundamental Matrix, Computing Homography, etc.

These can be considered as the sections which were not properly covered in the original "Learning OpenCV" book and yet they are very commonly used.

There is a Chapter on "Processing Images with Classes" which I think many may find useful.

Sections like "How it works" try to explain whats really going on and stuff.

Overall, this can be considered as a really good book to get started with OpenCV programming.

However, there are only two points about this book that dissapoint me.

1) One, there is no proper coverage of Machine Learning algorithms feature of OpenCV (including adaboost, d-trees, clustering, classification etc).

2) Two, there is no mention of python API of OpenCV. It is important because many people have increasingly started using Python to quickly test their algorithms in OpenCV rather than coding completely in Matlab which is different programming language/environment.

I can consider this a "Must Buy" as there have been lots of changes in API to OpenCV over the past few years which are not covered by any other book presently available in the market as of now.
1 internautes sur 1 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Wonderful book, recommendet for all audience 25 mars 2013
Par Angelo Monfroglio - Publié sur Amazon.com
Format:Broché|Achat vérifié
The book is written in a language clear and precise. The treatment is very useful for researchers and practionioners.
The content is uptodate. I definitely recommend this book.
1 internautes sur 1 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Excellent to research!! 13 mars 2013
Par Quenaz Da C. Eller - Publié sur Amazon.com
Format:Broché|Achat vérifié
If you are a research as me, you should buy this book. The book introduce you how you configure the opencv library using Qt with many examples (image color to gray, histogram and many important process in Images Processing).
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