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Learning OpenCV: Computer Vision with the OpenCV Library
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Type.................: Ebook
Part Size............: 13,888,008 bytes
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Learning OpenCV puts you right in the middle of the rapidly expanding field of
computer vision. Written by the creators of OpenCV, the widely used free open-
source 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 the data. Computer vision is everywhere -- in security
systems, manufacturing inspection systems, medical image analysis, Unmanned
Aerial Vehicles, and more. It helps robot cars drive by themselves, stitches
Google maps and Google Earth together, checks the pixels on your laptop's LCD
screen, and makes sure the stitches in your shirt are OK. OpenCV provides an
easy-to-use computer vision infrastructure along with a comprehensive library
containing more than 500 functions that can run vision code in real time. With
Learning OpenCV, any developer or hobbyist can get up and running with the
framework quickly, whether it's to build simple or sophisticated vision
applications. The book includes: A thorough introduction to OpenCV Getting input
from cameras Transforming images Shape matching Pattern recognition, including
face detection Segmenting images Tracking and motion in 2 and 3 dimensions
Machine learning algorithms Hands-on exercises at the end of each chapter help
you absorb the concepts, and an appendix explains how to set up an OpenCV
project in Visual Studio. OpenCV is written in performance optimized C/C++ code,
runs on Windows, Linux, and Mac OS X, and is free for commercial and research
use under a BSD license. Getting machines to see is a challenging but
entertaining goal. If you're intrigued by the possibilities, Learning OpenCV
gets you startedonbuilding computer vision applications of your own.

Table Of Contents

Preface ix
1. Overview 1
2. Introduction to OpenCV 16
3. Getting to Know OpenCV 31
4. HighGUI 90
5. Image Processing 109
6. Image Transforms 144
7. Histograms and Matching 193
8. Contours 222
9. Image Parts and Segmentation 265
10. Tracking and Motion 316
11. Camera Models and Calibration 370
12. Projection and 3D Vision 405
13. Machine Learning 459
14. OpenCV’s Future 521
Bibliography 527
Index 543

Product Details

* ISBN: 0596516134
* ISBN-13: 9780596516130
* Format: Paperback, 575pp
* Publisher: O'Reilly Media, Incorporated
* Pub. Date: September 2008