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Learning OpenCV [Anglais] [Broché]

Gary Bradski
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Descriptions du produit

Learning OpenCV Introduces readers to computer vision and demonstrates how they can quickly build applications that enable computers to "see" and make decisions based on the data. Full description

Détails sur le produit

  • Broché: 575 pages
  • Editeur : O'Reilly (3 octobre 2008)
  • Langue : Anglais
  • ISBN-10: 0596516134
  • ISBN-13: 978-0596516130
  • Dimensions du produit: 23,4 x 17,8 x 3 cm
  • Moyenne des commentaires client : 4.0 étoiles sur 5  Voir tous les commentaires (2 commentaires client)
  • Classement des meilleures ventes d'Amazon: 53.217 en Livres anglais et étrangers (Voir les 100 premiers en Livres anglais et étrangers)
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Couverture | Copyright | Table des matières | Extrait | Index | Quatrième de couverture
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Commentaires client les plus utiles
5.0 étoiles sur 5 Livre essentiel pour le traitement de l'image 26 avril 2014
Par slf153
Format:Broché|Achat vérifié
Mon livre de chevet lors de mes études en traitement d'image. En plus de donner des indications claires sur la librairie OpenCV, il propose des exercices pratiques (dont on peut télécharger le code) et des explications claires. Je vais encore aujourd'hui régulièrement le consulter, même sans utiliser OpenCV pour y trouver des explications simples sur les bases du traitement d'image. A recommander.
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3.0 étoiles sur 5 bonne introduction mais basé sur la version 1.0 16 mars 2012
Format:Format Kindle|Achat vérifié
Ce livre est une bonne introduction à OpenCV, avec de nombreux exemples, mais il est basé sur la version 1.0 uniquement.
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Amazon.com: 4.1 étoiles sur 5  37 commentaires
51 internautes sur 51 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 A great guide to OpenCV with plenty of context 30 octobre 2008
Par calvinnme - Publié sur Amazon.com
Format:Broché|Achat vérifié
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. However, before you read either of these you must read Digital Image Processing (3rd Edition), since image processing concepts are fundamental to understanding computer vision tasks. In fact, the two disciplines overlap in many spots. The sad truth of the matter is that no one book will teach you what you need to know to be an effective image scientist. However, this book on OpenCV is essential reading on applying the theory via programming in an effective manner. Highly recommended.
58 internautes sur 63 ont trouvé ce commentaire utile 
2.0 étoiles sur 5 Lacking the C++ API 18 novembre 2010
Par Peter Harrington - Publié sur Amazon.com
Format:Broché|Achat vérifié
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.
8 internautes sur 8 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 An absolute must have!!! 21 octobre 2008
Par Jean-Yves Bouguet - Publié sur Amazon.com
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.
5 internautes sur 5 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Pattern recognition and computer vision for the C hacker 11 avril 2010
Par William A. Barrett - Publié sur Amazon.com
Format:Broché|Achat vérifié
As a computer instructor and researcher in biometrics and pattern recognition, I welcome this treatise on OpenCV.
Don't even consider opening the pages unless you are familiar with C, its use of structs, pointers, callback functions and the like. You may also be put off by the various mathematical discussions of various advanced computer vision algorithms that have been developed over the last two decades.
OpenCV is an open-source collaborative work. It's partially supported by the Intel corporation, through their quest for advanced algorithms that might be included in its computer chips. Many low-level tools needed for video and image processing are now provided in advanced Intel microprocessors.
The theme of OpenCV is audacious, yet achievable -- that of providing high-quality, high-performance software tools for the many computer vision algorithms that have been published over the years. That has largely been achieved through the clever use of low-level pointer-based tools, accompanied by complete C source code for everything down to the raw processor instructions.
Other good news is that the system provides an easy portal to advanced Intel hardware support, boosting performance to the highest possible level. One can also port OpenCV-based code to Linux, other Unix and Mac platforms -- it is not restricted to Windows.
I've had some trouble with Windows XP, but the image and camera grabbing functions work well under Windows Vista. I've also been able to exploit the OpenCV tools under Windows MFC to support Windows-based applications.
This O'Reilly book provides the background support that you will need to download the OpenCV system from the internet, configure your development environment and start exploring the magic that its tools can provide.
Perhaps you can also contribute to the effort in the way of reporting bugs and providing tool extensions.
I should point out that most of the OpenCV documentation is also available free through the internet. If you like your docmentation scattered around through numerous HTML links, help yourself. I prefer a clear written dialog and an index to follow the underlying logic of all the functions and their variations described in the book.
4 internautes sur 4 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 Aimed for Computer Vision Researchers 18 décembre 2010
Par howlowck - Publié sur Amazon.com
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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