| 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 started on building computer vision
applications of your own.
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Biting the hand that feeds IT 
Published by: O'REILLY & ASSOCIATES