Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology Learning OpenCV puts you in the middle of rapidly growing field of computer vision. Written by the creators of the free and open source library OpenCV, 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. OpenCV provides easy to use computer vision framework and a complete library with more than 500 functions that can run vision code in real time. This book covers: A thorough introduction to OpenCV Getting input from cameras Transforming images Segmenting images and shape matching Pattern recognition, including face detection and motion tracking in dimension 2 and 3 3D reconstruction of stereo vision machine learning algorithms Getting machines to see is a challenging but entertaining goal.