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Learning OpenCV: Computer Vision with the OpenCV Library [Format Kindle]

Gary Bradski , Adrian Kaehler
4.0 étoiles sur 5  Voir tous les commentaires (2 commentaires client)

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Présentation de l'éditeur

"This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology

Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data.

Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time.

Learning OpenCV will teach any developer or hobbyist to use the framework quickly with the help of hands-on exercises in each chapter. This book includes:

  • A thorough introduction to OpenCV
  • Getting input from cameras
  • Transforming images
  • Segmenting images and shape matching
  • Pattern recognition, including face detection
  • Tracking and motion in 2 and 3 dimensions
  • 3D reconstruction from stereo vision
  • Machine learning algorithms

Getting machines to see is a challenging but entertaining goal. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book you need to get started.

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1 internautes sur 1 ont trouvé ce commentaire utile 
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: 4.2 étoiles sur 5  46 commentaires
53 internautes sur 54 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.
68 internautes sur 73 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 
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.
10 internautes sur 11 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.
10 internautes sur 11 ont trouvé ce commentaire utile 
2.0 étoiles sur 5 Great Toolkit, Excruciating Read 31 juillet 2010
Par Renner - Publié sur Amazon.com
The OpenCV library is great and it is nice that somebody put together a book to document it, because the documentation on the opencv wiki is as good as it could be and not well organized. The shortcoming of this book is the extreme verbosity. It is almost excruciating to read because you cannot just skip to the important points because many important points are buried enormous paragraphs that are mostly fluff. The two stars that I give it are entirely for my appreciation of the subject matter.
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