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OpenCV 2 Computer Vision Application Programming Cookbook

by Robert Laganière (Author)

3.8 38 ratings

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OpenCV 4 Computer Vision Application Programming Cookbook: Build complex computer vision applications with OpenCV and C++, 4th Edition
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OpenCV 2 Computer Vision Application Programming Cookbook

ISBN-10

1849513244
ISBN-13

978-1849513241
Publisher

Packt Publishing
Publication date

2011
May 23
Language

EN
English
Dimensions

7.5 x 0.7 x 9.3
inches
Length

304
Pages
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Editorial Reviews

About the Author

Robert Laganière

Robert Laganière is a professor at the University of Ottawa, Canada. He received his Ph.D. degree from INRS-Telecommunications in Montreal in 1996. Dr. Laganière is a researcher in computer vision with an interest in video analysis, intelligent visual surveillance, and imagebased modeling. He is a co-founding member of the VIVA research lab. He is also a Chief Scientist at iWatchLife.com, a company offering a cloud-based solution for remote monitoring. Dr. Laganière is the co-author of Object-oriented Software Engineering published by McGraw Hill in 2001.

Product details

Publisher ‏ : ‎ Packt Publishing (May 23, 2011)
Language ‏ : ‎ English
Paperback ‏ : ‎ 304 pages
ISBN-10 ‏ : ‎ 1849513244
ISBN-13 ‏ : ‎ 978-1849513241
Item Weight ‏ : ‎ 1.16 pounds
Dimensions ‏ : ‎ 7.5 x 0.69 x 9.25 inches

Best Sellers Rank: #2,062,956 in Books (See Top 100 in Books)
- #361 in Computer Vision & Pattern Recognition
- #367 in Computer Networks
- #420 in Computer Graphics

Customer Reviews:
3.8 38 ratings

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Customer reviews

3.8 out of 5

38 global ratings

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Jose I. Miranda

OpenCV as it is.

Reviewed in the United States on December 1, 2012

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Hello:

This book must be in the shelf of any serious student of OpenCV. If you want learn OpenCV with good examples, in a guided way, this book is for you. It avoids you of making many silly questions on the OpenCV special group on Yahoo.

2 people found this helpful

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S. Nicholson

Great book marred by sloppy proofreading

Reviewed in the United States on August 9, 2011

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I had already read the original Bradsky and Kaehler "Learning OpenCV" which was written against the original C interface, but later updated to OpenCV 2.3 with the new C++ interface. The new interface is much easier to work with and the OpenCV 2 Cookbook is a very good introduction. It touches on many of the capabilities of OpenCV and gives examples on how to use OpenCV for specific purposes. It's impossible for an introductory computer vision book to go into too much detail--any one of the topics could be an entire book on its own. But it gets you up and running.

I am using OpenCV with OS X and Xcode so most of Chapter 1 was useless. But, thankfully, every chapter after that is platform-agnostic so I can definitely recommend this to my fellow Mac programmers. The OpenCV Wiki has a page dedicated to installing OpenCV under OS X and creating an Xcode project. For iOS programmers there are a few sites out there that describe how to use OpenCV. There is a Google Summer of Code 2011 project whose aim is to build iOS support into the official OpenCV code base.

My biggest complaint with this book (and the thing that kept me from awarding five stars) is that the proofreading was dismal. I checked the book's website and it said there were no known errata. So I submitted a couple dozen. Most of them are grammatical errors. I only found a couple that affected the code. (One of which was code that attempted to modify a collection with a const_iterator.) None of the submitted errata have shown up on the book's website yet so you'll have to find them for yourself. I'm really spoiled by Pragmatic Programmers. They have a great book beta program that eliminates almost all errata before printing and they post all submitted errata immediately. Other publishers would do well to emulate the Prags' customer service.

In the end, though, you should definitely get this book if you'd like to learn how to use OpenCV's C++ interface. (And keep an eye out for the next edition of Learning OpenCV. The authors are working on an update.)

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Patrick Faith

Only for people that have committed to use opencv2 that need c

Reviewed in the United States on August 18, 2011

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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.

9 people found this helpful

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Quenaz

Excellent to research!!

Reviewed in the United States on March 13, 2013

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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).

One person found this helpful

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DA OB

Wrong Product

Reviewed in the United States on June 20, 2016

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I agree with one star - badly described and not helpful.

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Vinícius Godoy de Mendonça

Very practical approach

Reviewed in the United States on February 12, 2012

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When I bought this book, I was looking for a very practical approach in the subject of computer vision. And that's what I found.

As a computer vision student, I had trouble understading the theory presented in other books, even those with "practical" in their titles. The subject is normally presented in a very theoretical way, with paper references and strong mathematical approach, and no working samples at all. In other books, each tracking step is discussed with so many details, and with so many alternative approachs, that was really difficult for me to understand when to use one approach or another.

The book does not provide up to date computer vision information, and does not provide explanations of several opencv2.0 algorithms. That's why I took one star out. It's an opencv2 introduction book and enforces the C++ style and the new Opencv2 API.

But, if you expect no more than that, it is a fairly good introduction to the subject of computer vision. Every algorithm is explained in a direct language, you can easily implement the proposed programs, change some algorithm parameters, and see the results for yourself. After reading it, it will be considerably simpler to read a more theoretical book, or to understand academic papers on the subject.

One person found this helpful

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Angelo Monfroglio

Wonderful book, recommendet for all audience

Reviewed in the United States on March 25, 2013

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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.

One person found this helpful

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Winters Admire

checked the errata listing without finding useful clues. I figured them out eventually by myself

Reviewed in the United States on May 4, 2014

Verified Purchase

There are two issues which downgrade my rating from five stars to three stars:
1. In Chapter 5, the majority of sample code failed to be compiled. I searched author's website, checked the errata listing without finding useful clues. I figured them out eventually by myself.
2. In Chapter 7, there are also some source code failed to be compiled.
Otherwise, this textbook is an excellent guidance for students on learning the OpenCV programming. The book provides many useful examples and the description is friendly to new users.

One person found this helpful

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Stefan

OpenCV für die Kaffeepause

Reviewed in Germany on January 23, 2012

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Mit OpenCV habe ich dann und wann immer mal ein bisschen herumgespielt, aber sich durch das Online-Handbuch zu arbeiten war mir immer zu mühsam, zumal ich auch kein konkretes Anwendungsprojekt für OpenCV hatte. Das einzige bisher erschienene Buch zu OpenCV kann man sich ja auch online zu Gemüte führen. Das hatte mir aber nicht so zugesagt, weil es eher von der algorithmischen Seite her an OpenCV rangeht.

Das ist gut, wenn man verstehen möchte wie OpenCV intern rechnet und arbeitet.

Wenn man aber OpenCV "nur" anwenden möchte, dann ist es für den Einstieg erstmal besser ein paar nette "Hands-On" Beispiele zu bekommen. Und genau dies liefert das Buch "OpenCV 2 ...". Es verwendet das seit der Version 2.0 neue C++ Interface von OpenCV und zeigt diverse pragmatische Beispiele wie man konkrete Aufgabenstellungen mit OpenCV lösen kann. Welche Aufgaben das sind, das kann man hier mit dem "Blick ins Buch" nachschauen, darum liste ich die nicht noch mal auf.

Wer also quasi in Nullzeit mit OpenCV zu arbeiten anfangen möchte, der wird hier sehr gut bedient. Wer mehr über die "Innereien" von OpenCV, also den Algorithmen der Computer Vision, lernen möchte, für den ist das das falsche Buch.

Neben OpenCV wird einem auch gleich noch ein kurzer Einstieg in die QCreator Entwicklungsumgebung geliefert. Das ist ganz nett, wäre aber nicht unbedingt nötig gewesen. Wer mit OpenCV entwickeln möchte, der wird sicherlich schon wissen wie er eine IDE einrichtet und welche er gerne benutzt. Da OpenCV intern aber auch Qt verwendet um eine GUI darzustellen macht die Verwendung von QCreator aus dieser Perspektive natürlich wieder Sinn.

Also kurz und gut:
Ein pragmatischer Einstieg in OpenCV ohne technische Tiefe oder thematische Details. Wer das sucht wird mit dem Buch sehr zufrieden sein.

2 people found this helpful

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Emanuel Coelho

Four Stars

Reviewed in the United Kingdom on August 18, 2016

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It's a great book to learn

Maui

Chiaro e completo

Reviewed in Italy on February 11, 2014

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Per iniziare a programmare in c++ e opencv (con qualche elemento di qt).

+ chiaro e diretto, introduce gli argomenti tramite esempi facilmente riutilizzabili
+ avere qualche conoscenza della programmazione in c++ aiuta ma non è indispensabile: l'autore spiega tutto ciò che è necessario sapere
+ utile anche per apprendere il paradigma di programmazione ad oggetti

- avrei gradito un maggiore approfondimento (e più esempi) sull'analisi delle sequenze video

Servizio consegna Amazon ottimo, come sempre (il libro arrivava dal Regno Unito ma la spedizione è stata comunque puntuale)

One person found this helpful

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Philipp

Mangelhaft

Reviewed in Germany on March 24, 2013

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Prinzipiell ist das Buch eine gute Idee, mit schönen Beispielen aus der Computer Vision und unter Verwendung unterschiedlichster Algorithmen der OpenCV.
Leider ist die Umsetzung aus folgenden Gründen mangelhaft:

1.) Codebeispiele sind tlw. fehlerhaft bzw. schlichtweg nicht komplett. Die Implementierung wird daher zur Schnitzeljagd und Debug-Session.
2.) Die Struktur ist unvorteilhaft. MeanShift vor morphologischen Operationen und Bildfilterung?!?!?
3.) Der Coding-Style (sofern aus einem Beispiel dieser überhaupt hervorgeht) ist eigenartig. Header-Files gefüllt mit Implementierungen sämtlicher Methoden.

Das Buch wirkt schlichtweg unfertig und in keinster Weise kontrolliert. Für die ein oder andere Idee gibt es gerade noch 2 Sterne.

One person found this helpful

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Ben

Nice book to start with

Reviewed in Germany on March 10, 2013

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This book is a nice book te start with.
Based on VS2010 it shows installation of OpenCV.
In general it helps you on the way working with openCV 2.x
This book is not a replacement for the theory of image processing and analysis.

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