Learning OpenCV

By: Gary Bradski

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Paperback | 3 October 2008

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575 Pages

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"This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised." -William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data. Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time. Learning OpenCV will teach any developer or hobbyist to use the framework quickly with the help of hands-on exercises in each chapter. This book includes: * A thorough introduction to OpenCV * Getting input from cameras * Transforming images * Segmenting images and shape matching * Pattern recognition, including face detection * Tracking and motion in 2 and 3 dimensions *3D reconstruction from stereo vision * Machine learning algorithms Getting machines to see is a challenging but entertaining goal. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book you need to get started.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Human-Computer Interaction Image Processing Artificial Intelligence Computer Vision Computer Programming & Software Development Programming & Scripting Languages O'Reilly Object-Oriented Programming or OOP Booktopia Publisher Services

John Wiley & Sons Publishers UK

Preface
Purpose
About the Programs in This Book
Prerequisites
How This Book Is Best Used
Conventions Used in This Book
Using Code Examples
Safari“ Books Online
We'd Like to Hear from You
Acknowledgments
Overview
What Is OpenCV?
Who Uses OpenCV?
What Is Computer Vision?
The Origin of OpenCV
Downloading and Installing OpenCV
Getting the Latest OpenCV via CVS
More OpenCV Documentation
OpenCV Structure and Content
Portability
Exercises
Introduction to OpenCV
Getting Started
First Program—Display a Picture
Second Program—AVI Video
Moving Around
A Simple Transformation
A Not-So-Simple Transformation
Input from a Camera
Writing to an AVI File
Onward
Exercises
Getting to Know OpenCV
OpenCV Primitive Data Types
CvMat Matrix Structure
IplImage Data Structure
Matrix and Image Operators
Drawing Things
Data Persistence
Integrated Performance Primitives
Summary
Exercises
HighGUI
A Portable Graphics Toolkit
Creating a Window
Loading an Image
Displaying Images
Working with Video
ConvertImage
Exercises
Image Processing
Overview
Smoothing
Image Morphology
Flood Fill
Resize
Image Pyramids
Threshold
Exercises
Image Transforms
Overview
Convolution
Gradients and Sobel Derivatives
Laplace
Canny
Hough Transforms
Remap
Stretch, Shrink, Warp, and Rotate
CartToPolar and PolarToCart
LogPolar
Discrete Fourier Transform (DFT)
Discrete Cosine Transform (DCT)
Integral Images
Distance Transform
Histogram Equalization
Exercises
Histograms and Matching
Basic Histogram Data Structure
Accessing Histograms
Basic Manipulations with Histograms
Some More Complicated Stuff
Exercises
Contours
Memory Storage
Sequences
Contour Finding
Another Contour Example
More to Do with Contours spa$$$>
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Learning OpenCV

At a Glance

Paperback

Shipping

How to return your order

Defective items

You Can Find This Book In

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