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OpenCV 3 Blueprints
OpenCV 3 Blueprints

OpenCV 3 Blueprints: Expand your knowledge of computer vision by building amazing projects with OpenCV 3

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Profile Icon Joseph Howse Profile Icon Puttemans Profile Icon Sinha
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$48.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (12 Ratings)
Paperback Nov 2015 382 pages 1st Edition
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Arrow left icon
Profile Icon Joseph Howse Profile Icon Puttemans Profile Icon Sinha
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$48.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (12 Ratings)
Paperback Nov 2015 382 pages 1st Edition
eBook
$9.99 $39.99
Paperback
$48.99
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Free Trial
Renews at $19.99p/m
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OpenCV 3 Blueprints

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Description

Computer vision is becoming accessible to a large audience of software developers who can leverage mature libraries such as OpenCV. However, as they move beyond their first experiments in computer vision, developers may struggle to ensure that their solutions are sufficiently well optimized, well trained, robust, and adaptive in real-world conditions. With sufficient knowledge of OpenCV, these developers will have enough confidence to go about creating projects in the field of computer vision. This book will help you tackle increasingly challenging computer vision problems that you may face in your careers. It makes use of OpenCV 3 to work around some interesting projects. Inside these pages, you will find practical and innovative approaches that are battle-tested in the authors’ industry experience and research. Each chapter covers the theory and practice of multiple complementary approaches so that you will be able to choose wisely in your future projects. You will also gain insights into the architecture and algorithms that underpin OpenCV’s functionality. We begin by taking a critical look at inputs in order to decide which kinds of light, cameras, lenses, and image formats are best suited to a given purpose. We proceed to consider the finer aspects of computational photography as we build an automated camera to assist nature photographers. You will gain a deep understanding of some of the most widely applicable and reliable techniques in object detection, feature selection, tracking, and even biometric recognition. We will also build Android projects in which we explore the complexities of camera motion: first in panoramic image stitching and then in video stabilization. By the end of the book, you will have a much richer understanding of imaging, motion, machine learning, and the architecture of computer vision libraries and applications!

What you will learn

  • Select and configure camera systems to see invisible light, fast motion, and distant objects Build a -camera trap, as used by nature photographers, and process photos to create beautiful effects Develop a facial expression recognition system with various feature extraction techniques and machine learning methods Build a panorama Android application using the OpenCV stitching module in C++ with NDK support Optimize your object detection model, make it rotation invariant, and apply scene-specific constraints to make it faster and more robust Create a person identification and registration system based on biometric properties of that person, such as their fingerprint, iris, and face Fuse data from videos and gyroscopes to stabilize videos shot from your mobile phone and create hyperlapse style videos
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Publication date, Length, Edition, Language, ISBN-13
Publication date : Nov 10, 2015
Length: 382 pages
Edition : 1st
Language : English
ISBN-13 : 9781784399757
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Publication date : Nov 10, 2015
Length: 382 pages
Edition : 1st
Language : English
ISBN-13 : 9781784399757
Vendor :
Intel
Category :
Tools :

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Table of Contents

8 Chapters
1. Getting the Most out of Your Camera System Chevron down icon Chevron up icon
2. Photographing Nature and Wildlife with an Automated Camera Chevron down icon Chevron up icon
3. Recognizing Facial Expressions with Machine Learning Chevron down icon Chevron up icon
4. Panoramic Image Stitching Application Using Android Studio and NDK Chevron down icon Chevron up icon
5. Generic Object Detection for Industrial Applications Chevron down icon Chevron up icon
6. Efficient Person Identification Using Biometric Properties Chevron down icon Chevron up icon
7. Gyroscopic Video Stabilization Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

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Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3
(12 Ratings)
5 star 66.7%
4 star 16.7%
3 star 8.3%
2 star 0%
1 star 8.3%
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Amazon Customer Jan 17, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book is a very good recipe for those who have prior knowledge of opencv, it covers different subjects related to image processing and computer vision, while at the same time presents complete projects about different computer vision concepts. It provides an easy to follow flow over the text with a step by step explanation. It is not focused only to c++ and opencv development but includes other techniques/methods and technologies as well, e.g. python, android development, etc... Chapter 5 is excellent since it provides really important information and guidance related to machine learning and object detection, something quite interesting to many users, by giving you information related on how to modify settings and parameters for the best outcome. It is a nice to have book in your collection and I would definitely suggest to purchase it without second thoughts.
Amazon Verified review Amazon
Don Jan 18, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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.
Amazon Verified review Amazon
Lu Feb 01, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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.
Amazon Verified review Amazon
HRL Jan 24, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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."
Amazon Verified review Amazon
M. Barnachon Feb 01, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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!
Amazon Verified review Amazon
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