

Paperback: 366 pages
Publisher: Packt Publishing - ebooks Account (November 13, 2015)
Language: English
ISBN-10: 1784399752
ISBN-13: 978-1784399757
Product Dimensions: 7.5 x 0.9 x 9.2 inches
Shipping Weight: 12.6 ounces (View shipping rates and policies)
Average Customer Review: 4.8 out of 5 stars See all reviews (8 customer reviews)
Best Sellers Rank: #348,131 in Books (See Top 100 in Books) #58 in Books > Computers & Technology > Computer Science > AI & Machine Learning > Computer Vision & Pattern Recognition #950 in Books > Computers & Technology > Programming > Software Design, Testing & Engineering > Software Development #1008 in Books > Computers & Technology > Networking & Cloud Computing > Internet, Groupware, & Telecommunications

It's a good book that covers a lot of advanced OpenCV concepts, and the code is available online. That being said, the book is really messy. The different projects are all over the place in terms of programming languages, hardware setups, and difficulty level. The writing style is also noticeably different from chapter to chapter. Some chapters focus extensively on theory, and show code only briefly towards the end. Some concepts are introduced several times, such as the cascade classifier. Not the OpenCV masterpiece that others proclaimed it to be.
Quote from a friend:"Very well written, imaginative, insightful, and humorous. Provides related background supplement for fast learning. Step by step introduction to full-function program with dedicated and highly organized source code creates a smooth reading experience. As for the topic, it covers some mobile app development and machine learning projects, all taking care of actual deployment as a good application reference. Last but not least, clear and simple explanations for complex concepts to brighten up the dry technical talk. Apparently, this’s a very useful and well-designed OpenCV 3 reference book."
If you are an OpenCV user, and you want to go behind the tutorial, implement real-world applications, see how optimizations can be achieved with the latest release of OpenCV, this book is for you. If you want to understand how to implement a state-of-the-art paper, with tricks and optimizations, in a fast, but yet effective way, this book gives you 6 different projects to do it.Most of OpenCV tutorials and/or books teach you the documentation of the functions, a little of the background, and gives you some future directions. Here, you have real applications, which involve more than OpenCV/Computer Vision solutions. Don't expect that all the functions of OpenCV will be covered, they are presented in-place, while you are writing the (not so) toy application. This book won't teach you the theory behind the applications build, it will focus on the effectiveness. It assumes you already have this background, or you will learn it using another book. It's a great example of how to use a vast library (often used only for prototyping) inside industrial applications.What is of particular interest, in my opinion, is the focus made on extending the idea beyond the core of the method to the usage in the difficult / broad environment, with more than 2-3 users/cases. Don't hesitate to go behind the first chapter about camera type comparisons, that could be quite intimidating…A must have, if one of the chapter interest you!
This book was insightful and had an approachable layout and all the content necessary to get up and running with OpenCV 3. As I expect from an IT book, the content of this publication contained a step-by-step depiction of installing, using, and testing and pragmatic applications. What's more, I was so happy to gain value from supplier recommendation, relevant theoretical background information, and thorough steps to create projects in image capture and processing, machine learning, application development, and more a couple of more advanced facial recognition and gyroscope methods. If you are serious about learning and developing image-based approaches and applications, this is a wonderful resource to get you started.
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