|| ||"Mary Rotman" <pressroom-AT-oreilly.com>|
|| ||Learning OpenCV--New from O'Reilly|
|| ||Thu, 02 Oct 2008 07:30:00 -0700|
For Immediate Release
For more information, a review copy, cover art, or interview with the
Mary Rotman (707) 827-7119 or firstname.lastname@example.org
Learning OpenCV--New from O'Reilly
Computer Vision with the OpenCV Library
Sebastopol, CA--"Learning OpenCV" (O'Reilly Media, $49.99) 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 ties 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 whether it's to build simple or sophisticated vision
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
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.
"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' will likely occupy a prominent spot on the bookshelf of
almost anyone working in computer vision."
-David Lowe, Professor of Computer Science, University of British
For more information about the book, including table of contents, index,
author bio, and samples, see:
Dr. Gary Rost Bradski is a consulting professor in the CS department at
Stanford University AI Lab, and senior scientist at Willow Garage, a
robotics research institute/incubator.
Dr. Adrian Kaehler, senior scientist at Applied Minds Corporation,
conducts research in machine learning, statistical modeling, and computer
By Gary Rost Bradski & Adrian Kaehler
ISBN: 9780596516130, $49.99 US
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