Learning OpenCV: Computer Vision with the OpenCV Library

Additional Learning OpenCV: Computer Vision with the OpenCV Library Information

Learning OpenCV puts you right in the middle of the rapidly expanding field of computer vision.

If you're intrigued by the possibilities, Learning OpenCV puts you right in the middle of the rapidly expanding field of computer vision.

The book includes: A thorough introduction to OpenCV Getting input from cameras 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.

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. Written by the creators of OpenCV, the widely used free open-source library, this book introduces you to 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.

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