Get started in the rapidly expanding field of computer vision with this practical guide Written by Adrian Kaehler & Gary Bradski creator of the open source Open CV library this book provides a thorough introduction for developers academics roboticists & hobbyists You'll learn what it takes to build applications that enable computers to see & make decisions based on that data With over 500 functions that span many areas in vision Open CV is used for commercial applications such as security medical imaging pattern & face recognition robotics & factory product inspection This book gives you a firm grounding in computer vision & Open CV for building simple or sophisticated vision applications Hands-on exercises in each chapter help you apply what you've learned This volume covers the entire library in its modern C implementation including machine learning tools for computer vision Learn Open CV data types array types & array operations Capture & store still & video images with High GUI Transform images to stretch shrink warp remap & repair Explore pattern recognition including face detection Track objects & motion through the visual field Reconstruct 3D images from stereo vision Discover basic & advanced machine learning techniques in Open CV