OpenCV 2 Computer Vision Application Programming Cookbook [Paperback]

Robert Laganičre (Author)

Book Description

Publication Date: May 23, 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.

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

• Paperback: 304 pages
• Publisher: Packt Publishing (May 23, 2011)
• Language: English
• ISBN-10: 1849513244
• ISBN-13: 978-1849513241
• Product Dimensions: 7.5 x 0.6 x 9.2 inches
• Shipping Weight: 1.4 pounds (View shipping rates and policies)
• Average Customer Review: 3.9 out of 5 stars  See all reviews (17 customer reviews)
• Amazon Best Sellers Rank: #162,591 in Books (See Top 100 in Books)
  • #8 in Books > Computers & Technology > Computer Science > Artificial Intelligence > Machine Vision
  • #25 in Books > Computers & Technology > Programming > Algorithms > Pattern Recognition

Most Helpful Customer Reviews

28 of 29 people found the following review helpful

1.0 out of 5 stars Completely Outdated 2.0 is so different than 2.3 (a 2nd edition is needed untile then better try your luck on Internet) December 9, 2011

By L. Vignals

Format:Paperback|Amazon Verified Purchase

The topic is exciting but the book is so obsolete that even seasoned developers will have to jump though lots of hoops and constantly refer back to the online api doc to track all the changes in order to get anything out of this book. For the less experienced SW developpers honestly save your money and scan the web for tutorials and samples made with the 2.3 version of OpenCV otherwise chances are high you will buy the book bang your head on walls for a while and give up OpenCV for a few years. Given the extent of the API organization and changes between 2.0 and 2.3 I feel the Author somewhat cheated in the title of the book and should really have used OpenCV 2.0 instead of just OpenCV 2 as this is extremely missleading especially since the book was published in 2011... It's not like this book was up to date when published and things have evolved but more like this book was obsolete before it was even printed for the first time. I prefer to write positive reviews that encourage authors but the gap here is just too big...

7 of 7 people found the following review helpful

2.0 out of 5 stars I would stick with the website documentation October 4, 2011

By Sharat Chikkerur

Format:Paperback|Amazon Verified Purchase

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.

5 of 6 people found the following review helpful

3.0 out of 5 stars Only for people that have committed to use opencv2 that need c August 17, 2011

By Patrick Faith

Format:Kindle Edition|Amazon Verified Purchase

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.