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Détails sur le produit

  • Broché: 340 pages
  • Editeur : Packt Publishing Limited (3 décembre 2012)
  • Langue : Anglais
  • ISBN-10: 1849517827
  • ISBN-13: 978-1849517829
  • Dimensions du produit: 23,5 x 19 x 1,8 cm
  • Moyenne des commentaires client : 2.0 étoiles sur 5  Voir tous les commentaires (1 commentaire client)
  • Classement des meilleures ventes d'Amazon: 110.699 en Livres anglais et étrangers (Voir les 100 premiers en Livres anglais et étrangers)
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Format: Broché Achat vérifié
First disapointment : the chapter 9 about using a kinect for natural body interface has just vanished. Though present in the cover, inside there is just no chapter 9. And there is no erratum about that for now.
Second disapointment : the code in the book is often not up to date with the downloadable code though there was only one modification of the online code until now.

In general, the scientific explanations in this book are really poor, there are rarely justifications about why using this method rather than this other method. Most of the time it is just "do like this", "do like that"; or even worse they tell you to do some method but then you realize that the given code goes another way.

The content of this book may seem appealing but the realisation is really poor.

Seems to me like a book made in a hurry for some reason, and not with time and the will to do good work.

P.S. The first two comments are from an author and supposedly some of his friends, so don't take them into account.
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Commentaires client les plus utiles sur (beta) 9 commentaires
7 internautes sur 7 ont trouvé ce commentaire utile 
Good book if you are familiar with the basics of OpenCV 4 janvier 2013
Par A. Oliver - Publié sur
Format: Format Kindle Achat vérifié
I'm one of the authors of the book Practical Computer Vision with SimpleCV. The original reason we wrote the book was we felt OpenCV was lacking a lot of 'real world' type of examples that the average programmer could pick up without having to have a complex in-depth knowledge of Computer Vision. I feel this book does a very good job at that as well. Each chapter is basically it's own example with various computer vision techniques applied. I also appreciate the authors have posted all the code online for download and testing it the code compiled without any issues (Ubuntu 12.04). I definitely recommend this book if you are new to OpenCV or even interested in learning some of the basics of programming computer vision, although you should probably also have a bit of programming experience as well to actually understand what the code is doing.
3 internautes sur 3 ont trouvé ce commentaire utile 
Great book to expand your knowledge about OpenCV 13 janvier 2013
Par Jan Vantomme - Publié sur
Format: Format Kindle
A thing I really like about this book, is that it covers using OpenCV on a lot of different platforms. OpenCV is used a lot for desktop applications, but this book also covers a range of projects for mobile devices like the iPhone, iPad and Android smartphones and tablets.

The book covers a lot of different topics that go beyond the basics. You'll learn how to use OpenCV to create augmented reality applications, both with marker detection and without. There's also a nice chapter about number plate recognition.

The pieces I like the most are the chapters on non-rigid face tracking and head pose estimation. These chapters can be a good way to get you started recreating the Face Substitution piece made by Kyle McDonald and Arturo Castro.

The code for all projects in this book is available on Github, which is a great thing. If any bugs are found, this might be the best way for the authors to make changes and give everybody access to the most recent version of the code.
2 internautes sur 2 ont trouvé ce commentaire utile 
Hands-on wilderness guide to computer vision through OpenCV...sensible clothes, but no pen-protector required 6 mars 2013
Par Antony R. Mott - Publié sur
Format: Broché
Enthusiasm for computer vision, an interest in getting to know the open outdoors (no wait...I mean the open CV), and a yearnin' for learnin' are all that's required to gain nourishment from this welcome guidebook. Perhaps to the get the most out of the book as a whole - explore its varied trails - it may help to have some coding experience. In my case, a tolerable proficiency in C provided me backpack, compass and map for a good day's hike. If someone was to ask me what else might help before reading it, I might suggest a quick brush-up on the various IDEs and even platforms (not just your own favourite) and to be open-minded to the constraints and opportunities of mobile and desktop formats.

Contributing authors are consistent in their ability to convey an important theme or key concept for each chapter, author and editor Shervin Emami ensured refreshingly varied approaches and styles, probably due in part to the different parts of the world each author is drawn from. I was fortunate enough to be in contact with one of the contributing authors, Roy Shilkrot, who found time away from his PhD studies at MIT to be both helpful and interactive, so can say first hand that this book represents the work of people who are willing to help others learn and do cool things with computer vision.
1 internautes sur 1 ont trouvé ce commentaire utile 
Good for advanced OpenCV projects. A must have. 29 novembre 2013
Par Jose I. Miranda - Publié sur
Format: Broché Achat vérifié
This is the book I was looking for advanced projects with OpenCV 2. Really. It brings the best related to the most recent issues on face and character recognition.
Nice end-to-end cookbook for computer vision with OpenCV 5 mars 2014
Par Daniel Lee - Publié sur
Format: Format Kindle Achat vérifié
The book starts off by stating that it's intended for people with at least a bit of OpenCV knowledge and programming experience, and that rather than its aim is to show how to put together whole projects rather than explaining the theoretical background behind what you're doing. It's definitely correct in describing its target audience, and for the most part the focus is on implementation rather than theory. If you're looking for some examples of how to work with OpenCV as an all-around solution, this is a great collection for you.

A big plus is that for the most part it uses the new OpenCV C++ interface. I say "mostly" because the authors also demonstrate projects for mobile devices - one for Android and one for iOS, which I really enjoyed reading.

If you're looking for theory, you will find a bit in this book, but not much. I found the level that things were explained quite good, because you could understand what the code in the book does, but didn't necessarily have to be able to implement or understand the math behind them. The theoretical explanations have varying quality - sometimes they're right on the money, easy to understand and precisely relevant for what you're doing, and sometimes it's more than necessary. For the most part, I thought the authors did a good job of explaining what they were doing and why without forcing the reader to mire through lots of computer vision explanations that might not be interesting for somebody who's just wanting to implement a project that uses computer vision techniques. In every chapter, it was clear that the author really knew what he was talking about and many explanations you'll find in this book will be more concise and clear than what you'll find elsewhere.

From a programming standpoint, the book is a bit of a potpourri. There are lots of really good tips for working with OpenCV in general and the authors always point you to further documetation. Also, besides the full example code used in the book, there are some nice utilities included that you might want to use for your own projects. A few chapters have very concise, clear code that's easy to follow and well-designed. In other places I felt that the code was much more quick and dirty. There's some using directives, which are a pet peeve for me, as well as really big try blocks, writing to globals, and unnecessary casting. In a lot of places, you'll notice the authors using the functions from the old C interface, even though they're writing in C++. In some places, you'll also find that the code is a bit redundant and difficult to extend, but that might actually be an advantage for a beginner who's more interested in seeing how to get something done than understanding complex but elegant design patterns. Taken as a whole, there is some nice code in the book, but there's also some very ugly code here too, depending on what part you're reading. It all implements the algorithms described in the chapters, however, and that is the focus of the book. It's definitely not a collection of best programming practices, but on the other hand, that's not what it's trying to be. You will find good recipes that contain lots of examples that you can apply to your own code, and they're explained well enough to make that easy for you too.

I encourage you to read all the chapters of this book if you buy it. I read it with the intent of learning some techniques for my own projects, but although I could have done that by reading just a few chapters, I was glad to have read the whole thing. There are good tips and examples for working with OpenCV in general, and I found the sections on head pose estimation and face recognition very inspiring for my own work, even though I don't work with facial recognition at all. The book may not be a programming guide, but it definitely is a guide to computer vision and it shows you how to get very, very far, just by using OpenCV. It was well worth my time.
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