'Learning OpenCV' puts the reader in the middle of the field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces readers to computer vision and demonstrates how they can build applications that enable computers to 'see' and make decisions based on that data. Computer vision is 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 shirts are sewn properly. OpenCV provides a computer vision framework and a library with more than 500 functions that can run vision code in real time. 'Learning OpenCV' will teach a developer or hobbyist to use the framework with the help of hands-on exercises in each chapter. This book includes - An 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.