Learning OpenCV

Computer Vision with the OpenCV Library

By Gary Rost Bradski, Adrian Kaehler
September 2008
Pages: 575
ISBN 10: 0-596-51613-4 | ISBN 13: 9780596516130
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(5) (Average of 1 Customer Reviews)

Description

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. With this book, any developer or hobbyist can get up and running with the framework quickly, whether it's to build simple or sophisticated vision applications.
Full Description

"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.

Featured customer reviews

the perfect companion to image workers :), October 05 2008

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Submitted by Francisco Carlos Calderon [Respond | View]

there is no words to describe the absolute joy that i felt reading this book, is the only documentation that works ok in the world

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Media reviews
"Learning OpenCV provides a unified and clear presentation of the both the underlying theory and the practical use of contemporary computer vision techniques that are an essential component of building vision systems that interact with the real-world. "
-- Trevor Darrell, Professor, EECS, UC Berkeley

"Gary Bradksi has done the computer vision community a great service by organizing and championing the OpenCV library. This library is useful for practicioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."
-- Bill Freeman, Professor, EECS, MIT

"Learning OpenCV will likely occupy a prominent spot on the bookshelf of almost anyone working in computer vision...As readers, we are fortunate to have this chance to learn about OpenCV directly from Gary Bradski, who was the driving force and prime developer behind OpenCV. With his coauthor, Adrian Kaehler, they provide a clear and well-thought-out overview of the entire OpenCV code base, with many simple introductory examples that make it easy to slowly gain expertise with this large library of software. "
-- David Lowe, Professor, Computer Science, University of British Columbia

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"...a vital addition to the library of any computer vision practitioner."
--Trevor Darrell, Professor, EECS, UC Berkeley