- 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: 11 customer reviews
Amazon Best Sellers Rank:
#2,035,842 in Books (See Top 100 in Books)
- #434 in Books > Computers & Technology > Computer Science > AI & Machine Learning > Computer Vision & Pattern Recognition
- #4768 in Books > Computers & Technology > Programming > Software Design, Testing & Engineering > Software Development
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OpenCV Blueprints Paperback – November 10, 2015
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About the Author
Joseph Howse Joseph Howse lives in Canada. During the cold winters, he grows a beard and his four cats grow thick coats of fur. He combs the cats every day. Sometimes, the cats pull his beard. Joseph has been writing for Packt Publishing since 2012. His books include OpenCV for Secret Agents, OpenCV 3 Blueprints, Android Application Programming with OpenCV 3, Learning OpenCV 3 Computer Vision with Python, and Python Game Programming by Example. When he is not writing books or grooming cats, Joseph provides consulting, training, and software development services through his company, Nummist Media (http://nummist.com).
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Top customer reviews
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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!
"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."