Learning OpenCV: Computer Vision with the OpenCV Library First Edition, Gary Bradski, Adrian Kaehler

"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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