Rating:
(7 reviews)
Author: Daniel L?lis Baggio Shervin Emami David Millán Escrivá Khvedchenia Ievgen Naureen Mahmood Jason Saragih Roy Shilkrot
ISBN : B00AHCJNDG
New from $16.54
Format: PDF
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In Detail
OpenCV is a computer vision library that is extensively used in companies, research groups and governmental bodies for real-time capture, video file import, image manipulation, object detection and much more. Its comprehensive set of computer vision and machine learning algorithms makes it the obvious choice for professionals to develop visual applications.
With this book in hand, you would not need to plow through several pages of theory as this book will take you through the creation of many exciting projects that showcase the huge range of possibilities that open up when OpenCV is exploited to its full potential.
Approach
Using a project-based approach you will learn fun and challenging aspects of OpenCV computer vision application development. With each project you will be able to show off a creation that utilizes OpenCV’s features to its maximum potential.
Who this book is for
This book is for researchers, programmers, and software developers who know the basics of OpenCV and are interested in building computer vision applications themselves.
Download latest books on mediafire and other links compilation Free Mastering OpenCV with Practical Computer Vision Projects
- File Size: 3079 KB
- Print Length: 342 pages
- Page Numbers Source ISBN: 1849517827
- Publisher: Packt Publishing (December 3, 2012)
- Sold by: Amazon Digital Services, Inc.
- Language: English
- ASIN: B00AHCJNDG
- Text-to-Speech: Enabled
X-Ray:
- Lending: Not Enabled
- Amazon Best Sellers Rank: #93,738 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
- #12
in Books > Computers & Technology > Programming > Algorithms > Pattern Recognition
- #12
in Books > Computers & Technology > Programming > Algorithms > Pattern Recognition
Free Mastering OpenCV with Practical Computer Vision Projects
I'm one of the authors of the book Practical Computer Vision with SimpleCV. The original reason we wrote the book was we felt OpenCV was lacking a lot of 'real world' type of examples that the average programmer could pick up without having to have a complex in-depth knowledge of Computer Vision. I feel this book does a very good job at that as well. Each chapter is basically it's own example with various computer vision techniques applied. I also appreciate the authors have posted all the code online for download and testing it the code compiled without any issues (Ubuntu 12.04). I definitely recommend this book if you are new to OpenCV or even interested in learning some of the basics of programming computer vision, although you should probably also have a bit of programming experience as well to actually understand what the code is doing.
By A. Oliver
A thing I really like about this book, is that it covers using OpenCV on a lot of different platforms. OpenCV is used a lot for desktop applications, but this book also covers a range of projects for mobile devices like the iPhone, iPad and Android smartphones and tablets.
The book covers a lot of different topics that go beyond the basics. You'll learn how to use OpenCV to create augmented reality applications, both with marker detection and without. There's also a nice chapter about number plate recognition.
The pieces I like the most are the chapters on non-rigid face tracking and head pose estimation. These chapters can be a good way to get you started recreating the Face Substitution piece made by Kyle McDonald and Arturo Castro.
The code for all projects in this book is available on Github, which is a great thing. If any bugs are found, this might be the best way for the authors to make changes and give everybody access to the most recent version of the code.
By Jan Vantomme